{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# pandas 进阶修炼 ｜早起Python\n",
    "<br>\n",
    "\n",
    "**本习题由公众号【早起Python & 可视化图鉴】 原创，转载及其他形式合作请与我们联系（微信号`sshs321`)，未经授权严禁搬运及二次创作，侵权必究！**\n",
    "\n",
    "\n",
    "\n",
    "本习题基于 `pandas` 版本 `1.1.3`，所有内容应当在 `Jupyter Notebook` 中执行以获得最佳效果。\n",
    "\n",
    "\n",
    "不同版本之间写法可能会有少许不同，如若碰到此情况，你应该学会如何自行检索解决。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8 - 金融数据与时间处理\n",
    "\n",
    "\n",
    "\n",
    "<br>\n",
    "\n",
    "**<font color = '#5172F0'><font size=3.5>必读👇👇👇**</font>\n",
    "    \n",
    " \n",
    "有关于 pandas 的常用操作，在前面几个章节已经基本介绍完毕。\n",
    "    \n",
    "但是在利用 pandas 进行数据分析时，一个很重要的操作就是与带有时间属性的数据进行交互。\n",
    "    \n",
    "并且常常与股票、基金、数字货币等数据相关。\n",
    "    \n",
    "因此，本章是一个专题练习，将介绍\n",
    "- pandas操作时间\n",
    "- 股票数据分析\n",
    "- k线图制作\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 初始化\n",
    "\n",
    "<br>\n",
    "\n",
    "该 `Notebook` 版本为**纯习题版**\n",
    "\n",
    "如果需要答案或者提示，可以微信搜索公众号「早起Python」获取！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8-1 pandas中的时间操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1 - 时间生成｜当前时间\n",
    "\n",
    "使用 pandas 获取当前时间\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2021, 10, 14, 17, 9, 1, 559280)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pd.datetime.now()\n",
    "import datetime\n",
    "datetime.datetime.now()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2 - 时间生成｜指定范围\n",
    "\n",
    "使用 pandas 按天生成 2021年1月1日 至 2021年9月1日的全部日期"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04',\n",
       "               '2021-01-05', '2021-01-06', '2021-01-07', '2021-01-08',\n",
       "               '2021-01-09', '2021-01-10',\n",
       "               ...\n",
       "               '2021-08-23', '2021-08-24', '2021-08-25', '2021-08-26',\n",
       "               '2021-08-27', '2021-08-28', '2021-08-29', '2021-08-30',\n",
       "               '2021-08-31', '2021-09-01'],\n",
       "              dtype='datetime64[ns]', length=244, freq='D')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.date_range(start='2021-01-01', end='2021-09-01',freq='D')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3 - 时间生成｜指定长度\n",
    "\n",
    "使用 pandas 从 2021年1月1日开始，按天生成 10 天日期"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04',\n",
       "               '2021-01-05', '2021-01-06', '2021-01-07', '2021-01-08',\n",
       "               '2021-01-09', '2021-01-10'],\n",
       "              dtype='datetime64[ns]', freq='D')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.date_range(start='2021-01-01', periods=10, freq='D')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4 - 时间生成｜指定频率\n",
    "\n",
    "使用 pandas 从 2021年1月1日开始，按周生成 7 周日期"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2021-01-04', '2021-01-11', '2021-01-18', '2021-01-25',\n",
       "               '2021-02-01', '2021-02-08', '2021-02-15'],\n",
       "              dtype='datetime64[ns]', freq='W-MON')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.date_range(start='2021-01-01', periods=7, freq='W-MON')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5 - 时间生成｜特殊规律\n",
    "\n",
    "使用 pandas 按天生成 2021年1月1日 至 2021年9月1日的全部**工作日**日期"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2021-01-01', '2021-01-04', '2021-01-05', '2021-01-06',\n",
       "               '2021-01-07', '2021-01-08', '2021-01-11', '2021-01-12',\n",
       "               '2021-01-13', '2021-01-14',\n",
       "               ...\n",
       "               '2021-08-19', '2021-08-20', '2021-08-23', '2021-08-24',\n",
       "               '2021-08-25', '2021-08-26', '2021-08-27', '2021-08-30',\n",
       "               '2021-08-31', '2021-09-01'],\n",
       "              dtype='datetime64[ns]', length=174, freq='B')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.date_range(start='2021-01-01', end='2021-09-01', freq='B')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6 - 时间计算｜时间差（天）\n",
    "\n",
    "使用 pandas 计算 2021年2月14日 距离今天相差多少天"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "242"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "today = datetime.datetime.now()\n",
    "(pd.to_datetime(today) - pd.to_datetime('2021-02-14')).days"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7 - 时间计算｜时间差（小时）\n",
    "\n",
    "使用 pandas 计算 2021年9月1日13点14分 距离今天相差多少小时"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5825.150490757222"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "today = datetime.datetime.now()\n",
    "(pd.to_datetime(today) - pd.to_datetime('2021-02-14')).total_seconds() / (3600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8 - 时间运算\n",
    "\n",
    "将第一题得到的时间减去一天"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2021-10-13 17:09:01.826564')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "today = datetime.datetime.now()\n",
    "pd.to_datetime(today) - pd.Timedelta(days = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 9 - 时间格式化\n",
    "\n",
    "将上一题的结果式化为 xx年xx月xx日-xx时xx分xx秒"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2021年10月13日 17时09分01秒'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "today = datetime.datetime.now()\n",
    "(pd.to_datetime(today) - pd.Timedelta(days = 1)).strftime(\"%Y年%m月%d日 %H时%M分%S秒\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8-2 股票数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 10 - 加载数据\n",
    "\n",
    "本小节的数据将通过 [akshare](https://www.akshare.xyz/data/stock/stock.html#id8) 获取\n",
    "\n",
    "如果你的电脑上未安装 akshare，可以执行下方代码进行安装"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ! pip install akshare"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "#import akshare as ak"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果任何原因安装、导入失败，可以取消下方代码的注释，从本地读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 日线\n",
    "#df1 = ak.stock_zh_a_hist(symbol=\"000001\", period=\"daily\", start_date=\"20170101\", end_date='20210914', adjust=\"qfq\")\n",
    "# df1 = ak.stock_zh_a_hist(symbol=\"000001\", start_date=\"20170101\", end_date='20210914', adjust=\"qfq\")\n",
    "df1 = pd.read_csv(\"000001_daily.csv\")\n",
    "# 5min\n",
    "# df2 = ak.stock_zh_a_hist_min_em(symbol=\"000001\", period='5', adjust='qfq', start_date=\"2021-08-01 09:32:00\", end_date=\"2021-09-14 09:32:00\")\n",
    "df2 = pd.read_csv(\"000001_5min.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 11 - 查看数据类型\n",
    "\n",
    "查看 df1 各列的数据类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "日期      object\n",
       "开盘     float64\n",
       "收盘     float64\n",
       "最高     float64\n",
       "最低     float64\n",
       "成交量      int64\n",
       "成交额      int64\n",
       "振幅     float64\n",
       "涨跌幅    float64\n",
       "涨跌额    float64\n",
       "换手率    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 12 - 时间类型转换\n",
    "\n",
    "将 df1 和 df2 的 日期 列转换为 pandas 支持的时间格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>换手率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-01-03</td>\n",
       "      <td>8.27</td>\n",
       "      <td>8.32</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.25</td>\n",
       "      <td>459840</td>\n",
       "      <td>420595184</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.32</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.30</td>\n",
       "      <td>449330</td>\n",
       "      <td>411503440</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-01-05</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.31</td>\n",
       "      <td>344373</td>\n",
       "      <td>315769696</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-01-06</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>358154</td>\n",
       "      <td>327176432</td>\n",
       "      <td>0.72</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-01-09</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>361082</td>\n",
       "      <td>329994608</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1141</th>\n",
       "      <td>2021-09-08</td>\n",
       "      <td>19.24</td>\n",
       "      <td>19.23</td>\n",
       "      <td>19.55</td>\n",
       "      <td>19.10</td>\n",
       "      <td>1026201</td>\n",
       "      <td>1979771472</td>\n",
       "      <td>2.34</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1142</th>\n",
       "      <td>2021-09-09</td>\n",
       "      <td>19.11</td>\n",
       "      <td>19.00</td>\n",
       "      <td>19.15</td>\n",
       "      <td>18.80</td>\n",
       "      <td>739506</td>\n",
       "      <td>1399536016</td>\n",
       "      <td>1.82</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1143</th>\n",
       "      <td>2021-09-10</td>\n",
       "      <td>18.89</td>\n",
       "      <td>20.57</td>\n",
       "      <td>20.77</td>\n",
       "      <td>18.84</td>\n",
       "      <td>2314945</td>\n",
       "      <td>4668361728</td>\n",
       "      <td>10.16</td>\n",
       "      <td>8.26</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>2021-09-13</td>\n",
       "      <td>20.36</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.51</td>\n",
       "      <td>19.81</td>\n",
       "      <td>1297228</td>\n",
       "      <td>2606152384</td>\n",
       "      <td>3.40</td>\n",
       "      <td>-1.75</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1145</th>\n",
       "      <td>2021-09-14</td>\n",
       "      <td>20.18</td>\n",
       "      <td>19.37</td>\n",
       "      <td>20.27</td>\n",
       "      <td>19.27</td>\n",
       "      <td>1158173</td>\n",
       "      <td>2272080160</td>\n",
       "      <td>4.95</td>\n",
       "      <td>-4.16</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>0.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1146 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             日期     开盘     收盘     最高     最低      成交量         成交额     振幅   涨跌幅  \\\n",
       "0    2017-01-03   8.27   8.32   8.34   8.25   459840   420595184   1.09  0.73   \n",
       "1    2017-01-04   8.31   8.32   8.34   8.30   449330   411503440   0.48  0.00   \n",
       "2    2017-01-05   8.33   8.33   8.34   8.31   344373   315769696   0.36  0.12   \n",
       "3    2017-01-06   8.33   8.29   8.33   8.27   358154   327176432   0.72 -0.48   \n",
       "4    2017-01-09   8.29   8.31   8.33   8.27   361082   329994608   0.72  0.24   \n",
       "...         ...    ...    ...    ...    ...      ...         ...    ...   ...   \n",
       "1141 2021-09-08  19.24  19.23  19.55  19.10  1026201  1979771472   2.34 -0.05   \n",
       "1142 2021-09-09  19.11  19.00  19.15  18.80   739506  1399536016   1.82 -1.20   \n",
       "1143 2021-09-10  18.89  20.57  20.77  18.84  2314945  4668361728  10.16  8.26   \n",
       "1144 2021-09-13  20.36  20.21  20.51  19.81  1297228  2606152384   3.40 -1.75   \n",
       "1145 2021-09-14  20.18  19.37  20.27  19.27  1158173  2272080160   4.95 -4.16   \n",
       "\n",
       "       涨跌额   换手率  \n",
       "0     0.06  0.31  \n",
       "1     0.00  0.31  \n",
       "2     0.01  0.24  \n",
       "3    -0.04  0.24  \n",
       "4     0.02  0.21  \n",
       "...    ...   ...  \n",
       "1141 -0.01  0.53  \n",
       "1142 -0.23  0.38  \n",
       "1143  1.57  1.19  \n",
       "1144 -0.36  0.67  \n",
       "1145 -0.84  0.60  \n",
       "\n",
       "[1146 rows x 11 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['日期'] = pd.to_datetime(df1.日期)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.时间 = pd.to_datetime(df2.时间)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 13 - 日期筛选｜区间\n",
    "\n",
    "筛选出 df2 时间在 `2021-08-03 09:35:00` 与 `2021-08-04 15:00:00` 之间的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>时间</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>换手率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-08-03 09:40:00</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.76</td>\n",
       "      <td>17.83</td>\n",
       "      <td>17.66</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>41508</td>\n",
       "      <td>73683531</td>\n",
       "      <td>0.96</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-08-03 09:45:00</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.83</td>\n",
       "      <td>17.73</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.01</td>\n",
       "      <td>18521</td>\n",
       "      <td>32915794</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-08-03 09:50:00</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.72</td>\n",
       "      <td>17.78</td>\n",
       "      <td>17.70</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>24424</td>\n",
       "      <td>43323693</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-08-03 09:55:00</td>\n",
       "      <td>17.71</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.78</td>\n",
       "      <td>17.70</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.05</td>\n",
       "      <td>23197</td>\n",
       "      <td>41110937</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2021-08-03 10:00:00</td>\n",
       "      <td>17.78</td>\n",
       "      <td>17.81</td>\n",
       "      <td>17.83</td>\n",
       "      <td>17.74</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.04</td>\n",
       "      <td>18111</td>\n",
       "      <td>32208076</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2021-08-04 14:35:00</td>\n",
       "      <td>17.81</td>\n",
       "      <td>17.81</td>\n",
       "      <td>17.83</td>\n",
       "      <td>17.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12903</td>\n",
       "      <td>22973276</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2021-08-04 14:40:00</td>\n",
       "      <td>17.82</td>\n",
       "      <td>17.80</td>\n",
       "      <td>17.85</td>\n",
       "      <td>17.79</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>12254</td>\n",
       "      <td>21835743</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2021-08-04 14:45:00</td>\n",
       "      <td>17.82</td>\n",
       "      <td>17.82</td>\n",
       "      <td>17.84</td>\n",
       "      <td>17.80</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.02</td>\n",
       "      <td>9893</td>\n",
       "      <td>17631076</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2021-08-04 14:50:00</td>\n",
       "      <td>17.81</td>\n",
       "      <td>17.80</td>\n",
       "      <td>17.83</td>\n",
       "      <td>17.80</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>12127</td>\n",
       "      <td>21603534</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2021-08-04 14:55:00</td>\n",
       "      <td>17.80</td>\n",
       "      <td>17.81</td>\n",
       "      <td>17.84</td>\n",
       "      <td>17.79</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.01</td>\n",
       "      <td>17028</td>\n",
       "      <td>30332096</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>94 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    时间     开盘     收盘     最高     最低   涨跌幅   涨跌额    成交量  \\\n",
       "1  2021-08-03 09:40:00  17.77  17.76  17.83  17.66 -0.11 -0.02  41508   \n",
       "2  2021-08-03 09:45:00  17.77  17.77  17.83  17.73  0.06  0.01  18521   \n",
       "3  2021-08-03 09:50:00  17.77  17.72  17.78  17.70 -0.28 -0.05  24424   \n",
       "4  2021-08-03 09:55:00  17.71  17.77  17.78  17.70  0.28  0.05  23197   \n",
       "5  2021-08-03 10:00:00  17.78  17.81  17.83  17.74  0.23  0.04  18111   \n",
       "..                 ...    ...    ...    ...    ...   ...   ...    ...   \n",
       "90 2021-08-04 14:35:00  17.81  17.81  17.83  17.78  0.00  0.00  12903   \n",
       "91 2021-08-04 14:40:00  17.82  17.80  17.85  17.79 -0.06 -0.01  12254   \n",
       "92 2021-08-04 14:45:00  17.82  17.82  17.84  17.80  0.11  0.02   9893   \n",
       "93 2021-08-04 14:50:00  17.81  17.80  17.83  17.80 -0.11 -0.02  12127   \n",
       "94 2021-08-04 14:55:00  17.80  17.81  17.84  17.79  0.06  0.01  17028   \n",
       "\n",
       "         成交额    振幅   换手率  \n",
       "1   73683531  0.96  0.02  \n",
       "2   32915794  0.56  0.01  \n",
       "3   43323693  0.45  0.01  \n",
       "4   41110937  0.45  0.01  \n",
       "5   32208076  0.51  0.01  \n",
       "..       ...   ...   ...  \n",
       "90  22973276  0.28  0.01  \n",
       "91  21835743  0.34  0.01  \n",
       "92  17631076  0.22  0.01  \n",
       "93  21603534  0.17  0.01  \n",
       "94  30332096  0.28  0.01  \n",
       "\n",
       "[94 rows x 11 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2[(df2.时间 > pd.to_datetime('2021-08-03 09:35:00')) & (df2.时间 < pd.to_datetime('2021-08-04 15:00:00'))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "#T_e8b33_row1_col8, #T_e8b33_row2_col8, #T_e8b33_row3_col8, #T_e8b33_row9_col8, #T_e8b33_row11_col8, #T_e8b33_row13_col8, #T_e8b33_row14_col8, #T_e8b33_row15_col8, #T_e8b33_row17_col8, #T_e8b33_row18_col8, #T_e8b33_row19_col8, #T_e8b33_row20_col8 {\n",
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       "</style>\n",
       "<table id=\"T_e8b33_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >日期</th>\n",
       "      <th class=\"col_heading level0 col1\" >开盘</th>\n",
       "      <th class=\"col_heading level0 col2\" >收盘</th>\n",
       "      <th class=\"col_heading level0 col3\" >最高</th>\n",
       "      <th class=\"col_heading level0 col4\" >最低</th>\n",
       "      <th class=\"col_heading level0 col5\" >成交量</th>\n",
       "      <th class=\"col_heading level0 col6\" >成交额</th>\n",
       "      <th class=\"col_heading level0 col7\" >振幅</th>\n",
       "      <th class=\"col_heading level0 col8\" >涨跌幅</th>\n",
       "      <th class=\"col_heading level0 col9\" >涨跌额</th>\n",
       "      <th class=\"col_heading level0 col10\" >换手率</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th id=\"T_e8b33_level0_row0\" class=\"row_heading level0 row0\" >1114</th>\n",
       "      <td id=\"T_e8b33_row0_col0\" class=\"data row0 col0\" >2021-08-02 00:00:00</td>\n",
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       "      <td id=\"T_e8b33_row0_col2\" class=\"data row0 col2\" >18.010000</td>\n",
       "      <td id=\"T_e8b33_row0_col3\" class=\"data row0 col3\" >18.140000</td>\n",
       "      <td id=\"T_e8b33_row0_col4\" class=\"data row0 col4\" >17.180000</td>\n",
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       "      <td id=\"T_e8b33_row0_col6\" class=\"data row0 col6\" >2056014240</td>\n",
       "      <td id=\"T_e8b33_row0_col7\" class=\"data row0 col7\" >5.430000</td>\n",
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       "      <td id=\"T_e8b33_row0_col9\" class=\"data row0 col9\" >0.320000</td>\n",
       "      <td id=\"T_e8b33_row0_col10\" class=\"data row0 col10\" >0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row1\" class=\"row_heading level0 row1\" >1115</th>\n",
       "      <td id=\"T_e8b33_row1_col0\" class=\"data row1 col0\" >2021-08-03 00:00:00</td>\n",
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       "      <td id=\"T_e8b33_row1_col2\" class=\"data row1 col2\" >17.890000</td>\n",
       "      <td id=\"T_e8b33_row1_col3\" class=\"data row1 col3\" >18.150000</td>\n",
       "      <td id=\"T_e8b33_row1_col4\" class=\"data row1 col4\" >17.660000</td>\n",
       "      <td id=\"T_e8b33_row1_col5\" class=\"data row1 col5\" >896949</td>\n",
       "      <td id=\"T_e8b33_row1_col6\" class=\"data row1 col6\" >1609422576</td>\n",
       "      <td id=\"T_e8b33_row1_col7\" class=\"data row1 col7\" >2.720000</td>\n",
       "      <td id=\"T_e8b33_row1_col8\" class=\"data row1 col8\" >-0.670000</td>\n",
       "      <td id=\"T_e8b33_row1_col9\" class=\"data row1 col9\" >-0.120000</td>\n",
       "      <td id=\"T_e8b33_row1_col10\" class=\"data row1 col10\" >0.460000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row2\" class=\"row_heading level0 row2\" >1116</th>\n",
       "      <td id=\"T_e8b33_row2_col0\" class=\"data row2 col0\" >2021-08-04 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row2_col1\" class=\"data row2 col1\" >18.040000</td>\n",
       "      <td id=\"T_e8b33_row2_col2\" class=\"data row2 col2\" >17.810000</td>\n",
       "      <td id=\"T_e8b33_row2_col3\" class=\"data row2 col3\" >18.070000</td>\n",
       "      <td id=\"T_e8b33_row2_col4\" class=\"data row2 col4\" >17.600000</td>\n",
       "      <td id=\"T_e8b33_row2_col5\" class=\"data row2 col5\" >729620</td>\n",
       "      <td id=\"T_e8b33_row2_col6\" class=\"data row2 col6\" >1300164288</td>\n",
       "      <td id=\"T_e8b33_row2_col7\" class=\"data row2 col7\" >2.630000</td>\n",
       "      <td id=\"T_e8b33_row2_col8\" class=\"data row2 col8\" >-0.450000</td>\n",
       "      <td id=\"T_e8b33_row2_col9\" class=\"data row2 col9\" >-0.080000</td>\n",
       "      <td id=\"T_e8b33_row2_col10\" class=\"data row2 col10\" >0.380000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row3\" class=\"row_heading level0 row3\" >1117</th>\n",
       "      <td id=\"T_e8b33_row3_col0\" class=\"data row3 col0\" >2021-08-05 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row3_col1\" class=\"data row3 col1\" >17.700000</td>\n",
       "      <td id=\"T_e8b33_row3_col2\" class=\"data row3 col2\" >17.680000</td>\n",
       "      <td id=\"T_e8b33_row3_col3\" class=\"data row3 col3\" >18.050000</td>\n",
       "      <td id=\"T_e8b33_row3_col4\" class=\"data row3 col4\" >17.580000</td>\n",
       "      <td id=\"T_e8b33_row3_col5\" class=\"data row3 col5\" >621574</td>\n",
       "      <td id=\"T_e8b33_row3_col6\" class=\"data row3 col6\" >1104903008</td>\n",
       "      <td id=\"T_e8b33_row3_col7\" class=\"data row3 col7\" >2.640000</td>\n",
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       "      <td id=\"T_e8b33_row3_col9\" class=\"data row3 col9\" >-0.130000</td>\n",
       "      <td id=\"T_e8b33_row3_col10\" class=\"data row3 col10\" >0.320000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row4\" class=\"row_heading level0 row4\" >1118</th>\n",
       "      <td id=\"T_e8b33_row4_col0\" class=\"data row4 col0\" >2021-08-06 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row4_col1\" class=\"data row4 col1\" >17.550000</td>\n",
       "      <td id=\"T_e8b33_row4_col2\" class=\"data row4 col2\" >17.860000</td>\n",
       "      <td id=\"T_e8b33_row4_col3\" class=\"data row4 col3\" >17.900000</td>\n",
       "      <td id=\"T_e8b33_row4_col4\" class=\"data row4 col4\" >17.450000</td>\n",
       "      <td id=\"T_e8b33_row4_col5\" class=\"data row4 col5\" >567454</td>\n",
       "      <td id=\"T_e8b33_row4_col6\" class=\"data row4 col6\" >1005870944</td>\n",
       "      <td id=\"T_e8b33_row4_col7\" class=\"data row4 col7\" >2.550000</td>\n",
       "      <td id=\"T_e8b33_row4_col8\" class=\"data row4 col8\" >1.020000</td>\n",
       "      <td id=\"T_e8b33_row4_col9\" class=\"data row4 col9\" >0.180000</td>\n",
       "      <td id=\"T_e8b33_row4_col10\" class=\"data row4 col10\" >0.290000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row5\" class=\"row_heading level0 row5\" >1119</th>\n",
       "      <td id=\"T_e8b33_row5_col0\" class=\"data row5 col0\" >2021-08-09 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row5_col1\" class=\"data row5 col1\" >17.910000</td>\n",
       "      <td id=\"T_e8b33_row5_col2\" class=\"data row5 col2\" >19.060000</td>\n",
       "      <td id=\"T_e8b33_row5_col3\" class=\"data row5 col3\" >19.250000</td>\n",
       "      <td id=\"T_e8b33_row5_col4\" class=\"data row5 col4\" >17.840000</td>\n",
       "      <td id=\"T_e8b33_row5_col5\" class=\"data row5 col5\" >1752798</td>\n",
       "      <td id=\"T_e8b33_row5_col6\" class=\"data row5 col6\" >3313803232</td>\n",
       "      <td id=\"T_e8b33_row5_col7\" class=\"data row5 col7\" >7.890000</td>\n",
       "      <td id=\"T_e8b33_row5_col8\" class=\"data row5 col8\" >6.720000</td>\n",
       "      <td id=\"T_e8b33_row5_col9\" class=\"data row5 col9\" >1.200000</td>\n",
       "      <td id=\"T_e8b33_row5_col10\" class=\"data row5 col10\" >0.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row6\" class=\"row_heading level0 row6\" >1120</th>\n",
       "      <td id=\"T_e8b33_row6_col0\" class=\"data row6 col0\" >2021-08-10 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row6_col1\" class=\"data row6 col1\" >19.090000</td>\n",
       "      <td id=\"T_e8b33_row6_col2\" class=\"data row6 col2\" >19.730000</td>\n",
       "      <td id=\"T_e8b33_row6_col3\" class=\"data row6 col3\" >19.980000</td>\n",
       "      <td id=\"T_e8b33_row6_col4\" class=\"data row6 col4\" >18.900000</td>\n",
       "      <td id=\"T_e8b33_row6_col5\" class=\"data row6 col5\" >1301988</td>\n",
       "      <td id=\"T_e8b33_row6_col6\" class=\"data row6 col6\" >2535427984</td>\n",
       "      <td id=\"T_e8b33_row6_col7\" class=\"data row6 col7\" >5.670000</td>\n",
       "      <td id=\"T_e8b33_row6_col8\" class=\"data row6 col8\" >3.520000</td>\n",
       "      <td id=\"T_e8b33_row6_col9\" class=\"data row6 col9\" >0.670000</td>\n",
       "      <td id=\"T_e8b33_row6_col10\" class=\"data row6 col10\" >0.670000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row7\" class=\"row_heading level0 row7\" >1121</th>\n",
       "      <td id=\"T_e8b33_row7_col0\" class=\"data row7 col0\" >2021-08-11 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row7_col1\" class=\"data row7 col1\" >19.990000</td>\n",
       "      <td id=\"T_e8b33_row7_col2\" class=\"data row7 col2\" >19.810000</td>\n",
       "      <td id=\"T_e8b33_row7_col3\" class=\"data row7 col3\" >20.580000</td>\n",
       "      <td id=\"T_e8b33_row7_col4\" class=\"data row7 col4\" >19.700000</td>\n",
       "      <td id=\"T_e8b33_row7_col5\" class=\"data row7 col5\" >1048308</td>\n",
       "      <td id=\"T_e8b33_row7_col6\" class=\"data row7 col6\" >2104975152</td>\n",
       "      <td id=\"T_e8b33_row7_col7\" class=\"data row7 col7\" >4.460000</td>\n",
       "      <td id=\"T_e8b33_row7_col8\" class=\"data row7 col8\" >0.410000</td>\n",
       "      <td id=\"T_e8b33_row7_col9\" class=\"data row7 col9\" >0.080000</td>\n",
       "      <td id=\"T_e8b33_row7_col10\" class=\"data row7 col10\" >0.540000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row8\" class=\"row_heading level0 row8\" >1122</th>\n",
       "      <td id=\"T_e8b33_row8_col0\" class=\"data row8 col0\" >2021-08-12 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row8_col1\" class=\"data row8 col1\" >19.790000</td>\n",
       "      <td id=\"T_e8b33_row8_col2\" class=\"data row8 col2\" >19.890000</td>\n",
       "      <td id=\"T_e8b33_row8_col3\" class=\"data row8 col3\" >20.300000</td>\n",
       "      <td id=\"T_e8b33_row8_col4\" class=\"data row8 col4\" >19.630000</td>\n",
       "      <td id=\"T_e8b33_row8_col5\" class=\"data row8 col5\" >666458</td>\n",
       "      <td id=\"T_e8b33_row8_col6\" class=\"data row8 col6\" >1330388048</td>\n",
       "      <td id=\"T_e8b33_row8_col7\" class=\"data row8 col7\" >3.380000</td>\n",
       "      <td id=\"T_e8b33_row8_col8\" class=\"data row8 col8\" >0.400000</td>\n",
       "      <td id=\"T_e8b33_row8_col9\" class=\"data row8 col9\" >0.080000</td>\n",
       "      <td id=\"T_e8b33_row8_col10\" class=\"data row8 col10\" >0.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row9\" class=\"row_heading level0 row9\" >1123</th>\n",
       "      <td id=\"T_e8b33_row9_col0\" class=\"data row9 col0\" >2021-08-13 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row9_col1\" class=\"data row9 col1\" >19.780000</td>\n",
       "      <td id=\"T_e8b33_row9_col2\" class=\"data row9 col2\" >19.890000</td>\n",
       "      <td id=\"T_e8b33_row9_col3\" class=\"data row9 col3\" >19.920000</td>\n",
       "      <td id=\"T_e8b33_row9_col4\" class=\"data row9 col4\" >19.500000</td>\n",
       "      <td id=\"T_e8b33_row9_col5\" class=\"data row9 col5\" >562885</td>\n",
       "      <td id=\"T_e8b33_row9_col6\" class=\"data row9 col6\" >1110191392</td>\n",
       "      <td id=\"T_e8b33_row9_col7\" class=\"data row9 col7\" >2.110000</td>\n",
       "      <td id=\"T_e8b33_row9_col8\" class=\"data row9 col8\" >0.000000</td>\n",
       "      <td id=\"T_e8b33_row9_col9\" class=\"data row9 col9\" >0.000000</td>\n",
       "      <td id=\"T_e8b33_row9_col10\" class=\"data row9 col10\" >0.290000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row10\" class=\"row_heading level0 row10\" >1124</th>\n",
       "      <td id=\"T_e8b33_row10_col0\" class=\"data row10 col0\" >2021-08-16 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row10_col1\" class=\"data row10 col1\" >20.090000</td>\n",
       "      <td id=\"T_e8b33_row10_col2\" class=\"data row10 col2\" >19.950000</td>\n",
       "      <td id=\"T_e8b33_row10_col3\" class=\"data row10 col3\" >20.200000</td>\n",
       "      <td id=\"T_e8b33_row10_col4\" class=\"data row10 col4\" >19.570000</td>\n",
       "      <td id=\"T_e8b33_row10_col5\" class=\"data row10 col5\" >627050</td>\n",
       "      <td id=\"T_e8b33_row10_col6\" class=\"data row10 col6\" >1247681168</td>\n",
       "      <td id=\"T_e8b33_row10_col7\" class=\"data row10 col7\" >3.170000</td>\n",
       "      <td id=\"T_e8b33_row10_col8\" class=\"data row10 col8\" >0.300000</td>\n",
       "      <td id=\"T_e8b33_row10_col9\" class=\"data row10 col9\" >0.060000</td>\n",
       "      <td id=\"T_e8b33_row10_col10\" class=\"data row10 col10\" >0.320000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row11\" class=\"row_heading level0 row11\" >1125</th>\n",
       "      <td id=\"T_e8b33_row11_col0\" class=\"data row11 col0\" >2021-08-17 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row11_col1\" class=\"data row11 col1\" >19.850000</td>\n",
       "      <td id=\"T_e8b33_row11_col2\" class=\"data row11 col2\" >19.670000</td>\n",
       "      <td id=\"T_e8b33_row11_col3\" class=\"data row11 col3\" >20.220000</td>\n",
       "      <td id=\"T_e8b33_row11_col4\" class=\"data row11 col4\" >19.610000</td>\n",
       "      <td id=\"T_e8b33_row11_col5\" class=\"data row11 col5\" >476022</td>\n",
       "      <td id=\"T_e8b33_row11_col6\" class=\"data row11 col6\" >947385520</td>\n",
       "      <td id=\"T_e8b33_row11_col7\" class=\"data row11 col7\" >3.060000</td>\n",
       "      <td id=\"T_e8b33_row11_col8\" class=\"data row11 col8\" >-1.400000</td>\n",
       "      <td id=\"T_e8b33_row11_col9\" class=\"data row11 col9\" >-0.280000</td>\n",
       "      <td id=\"T_e8b33_row11_col10\" class=\"data row11 col10\" >0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row12\" class=\"row_heading level0 row12\" >1126</th>\n",
       "      <td id=\"T_e8b33_row12_col0\" class=\"data row12 col0\" >2021-08-18 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row12_col1\" class=\"data row12 col1\" >19.670000</td>\n",
       "      <td id=\"T_e8b33_row12_col2\" class=\"data row12 col2\" >20.620000</td>\n",
       "      <td id=\"T_e8b33_row12_col3\" class=\"data row12 col3\" >21.200000</td>\n",
       "      <td id=\"T_e8b33_row12_col4\" class=\"data row12 col4\" >19.550000</td>\n",
       "      <td id=\"T_e8b33_row12_col5\" class=\"data row12 col5\" >1332732</td>\n",
       "      <td id=\"T_e8b33_row12_col6\" class=\"data row12 col6\" >2732213552</td>\n",
       "      <td id=\"T_e8b33_row12_col7\" class=\"data row12 col7\" >8.390000</td>\n",
       "      <td id=\"T_e8b33_row12_col8\" class=\"data row12 col8\" >4.830000</td>\n",
       "      <td id=\"T_e8b33_row12_col9\" class=\"data row12 col9\" >0.950000</td>\n",
       "      <td id=\"T_e8b33_row12_col10\" class=\"data row12 col10\" >0.690000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row13\" class=\"row_heading level0 row13\" >1127</th>\n",
       "      <td id=\"T_e8b33_row13_col0\" class=\"data row13 col0\" >2021-08-19 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row13_col1\" class=\"data row13 col1\" >20.480000</td>\n",
       "      <td id=\"T_e8b33_row13_col2\" class=\"data row13 col2\" >20.340000</td>\n",
       "      <td id=\"T_e8b33_row13_col3\" class=\"data row13 col3\" >20.620000</td>\n",
       "      <td id=\"T_e8b33_row13_col4\" class=\"data row13 col4\" >20.020000</td>\n",
       "      <td id=\"T_e8b33_row13_col5\" class=\"data row13 col5\" >649976</td>\n",
       "      <td id=\"T_e8b33_row13_col6\" class=\"data row13 col6\" >1315320352</td>\n",
       "      <td id=\"T_e8b33_row13_col7\" class=\"data row13 col7\" >2.910000</td>\n",
       "      <td id=\"T_e8b33_row13_col8\" class=\"data row13 col8\" >-1.360000</td>\n",
       "      <td id=\"T_e8b33_row13_col9\" class=\"data row13 col9\" >-0.280000</td>\n",
       "      <td id=\"T_e8b33_row13_col10\" class=\"data row13 col10\" >0.330000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row14\" class=\"row_heading level0 row14\" >1128</th>\n",
       "      <td id=\"T_e8b33_row14_col0\" class=\"data row14 col0\" >2021-08-20 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row14_col1\" class=\"data row14 col1\" >19.970000</td>\n",
       "      <td id=\"T_e8b33_row14_col2\" class=\"data row14 col2\" >19.420000</td>\n",
       "      <td id=\"T_e8b33_row14_col3\" class=\"data row14 col3\" >20.070000</td>\n",
       "      <td id=\"T_e8b33_row14_col4\" class=\"data row14 col4\" >18.700000</td>\n",
       "      <td id=\"T_e8b33_row14_col5\" class=\"data row14 col5\" >1614628</td>\n",
       "      <td id=\"T_e8b33_row14_col6\" class=\"data row14 col6\" >3119152560</td>\n",
       "      <td id=\"T_e8b33_row14_col7\" class=\"data row14 col7\" >6.740000</td>\n",
       "      <td id=\"T_e8b33_row14_col8\" class=\"data row14 col8\" >-4.520000</td>\n",
       "      <td id=\"T_e8b33_row14_col9\" class=\"data row14 col9\" >-0.920000</td>\n",
       "      <td id=\"T_e8b33_row14_col10\" class=\"data row14 col10\" >0.830000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row15\" class=\"row_heading level0 row15\" >1129</th>\n",
       "      <td id=\"T_e8b33_row15_col0\" class=\"data row15 col0\" >2021-08-23 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row15_col1\" class=\"data row15 col1\" >19.500000</td>\n",
       "      <td id=\"T_e8b33_row15_col2\" class=\"data row15 col2\" >19.300000</td>\n",
       "      <td id=\"T_e8b33_row15_col3\" class=\"data row15 col3\" >20.050000</td>\n",
       "      <td id=\"T_e8b33_row15_col4\" class=\"data row15 col4\" >19.110000</td>\n",
       "      <td id=\"T_e8b33_row15_col5\" class=\"data row15 col5\" >1191849</td>\n",
       "      <td id=\"T_e8b33_row15_col6\" class=\"data row15 col6\" >2315871648</td>\n",
       "      <td id=\"T_e8b33_row15_col7\" class=\"data row15 col7\" >4.840000</td>\n",
       "      <td id=\"T_e8b33_row15_col8\" class=\"data row15 col8\" >-0.620000</td>\n",
       "      <td id=\"T_e8b33_row15_col9\" class=\"data row15 col9\" >-0.120000</td>\n",
       "      <td id=\"T_e8b33_row15_col10\" class=\"data row15 col10\" >0.610000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row16\" class=\"row_heading level0 row16\" >1130</th>\n",
       "      <td id=\"T_e8b33_row16_col0\" class=\"data row16 col0\" >2021-08-24 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row16_col1\" class=\"data row16 col1\" >19.350000</td>\n",
       "      <td id=\"T_e8b33_row16_col2\" class=\"data row16 col2\" >19.360000</td>\n",
       "      <td id=\"T_e8b33_row16_col3\" class=\"data row16 col3\" >19.970000</td>\n",
       "      <td id=\"T_e8b33_row16_col4\" class=\"data row16 col4\" >19.210000</td>\n",
       "      <td id=\"T_e8b33_row16_col5\" class=\"data row16 col5\" >868953</td>\n",
       "      <td id=\"T_e8b33_row16_col6\" class=\"data row16 col6\" >1690760832</td>\n",
       "      <td id=\"T_e8b33_row16_col7\" class=\"data row16 col7\" >3.940000</td>\n",
       "      <td id=\"T_e8b33_row16_col8\" class=\"data row16 col8\" >0.310000</td>\n",
       "      <td id=\"T_e8b33_row16_col9\" class=\"data row16 col9\" >0.060000</td>\n",
       "      <td id=\"T_e8b33_row16_col10\" class=\"data row16 col10\" >0.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row17\" class=\"row_heading level0 row17\" >1131</th>\n",
       "      <td id=\"T_e8b33_row17_col0\" class=\"data row17 col0\" >2021-08-25 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row17_col1\" class=\"data row17 col1\" >19.420000</td>\n",
       "      <td id=\"T_e8b33_row17_col2\" class=\"data row17 col2\" >19.160000</td>\n",
       "      <td id=\"T_e8b33_row17_col3\" class=\"data row17 col3\" >19.470000</td>\n",
       "      <td id=\"T_e8b33_row17_col4\" class=\"data row17 col4\" >18.950000</td>\n",
       "      <td id=\"T_e8b33_row17_col5\" class=\"data row17 col5\" >698084</td>\n",
       "      <td id=\"T_e8b33_row17_col6\" class=\"data row17 col6\" >1341330416</td>\n",
       "      <td id=\"T_e8b33_row17_col7\" class=\"data row17 col7\" >2.690000</td>\n",
       "      <td id=\"T_e8b33_row17_col8\" class=\"data row17 col8\" >-1.030000</td>\n",
       "      <td id=\"T_e8b33_row17_col9\" class=\"data row17 col9\" >-0.200000</td>\n",
       "      <td id=\"T_e8b33_row17_col10\" class=\"data row17 col10\" >0.360000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row18\" class=\"row_heading level0 row18\" >1132</th>\n",
       "      <td id=\"T_e8b33_row18_col0\" class=\"data row18 col0\" >2021-08-26 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row18_col1\" class=\"data row18 col1\" >19.200000</td>\n",
       "      <td id=\"T_e8b33_row18_col2\" class=\"data row18 col2\" >18.460000</td>\n",
       "      <td id=\"T_e8b33_row18_col3\" class=\"data row18 col3\" >19.260000</td>\n",
       "      <td id=\"T_e8b33_row18_col4\" class=\"data row18 col4\" >18.410000</td>\n",
       "      <td id=\"T_e8b33_row18_col5\" class=\"data row18 col5\" >951619</td>\n",
       "      <td id=\"T_e8b33_row18_col6\" class=\"data row18 col6\" >1783725040</td>\n",
       "      <td id=\"T_e8b33_row18_col7\" class=\"data row18 col7\" >4.440000</td>\n",
       "      <td id=\"T_e8b33_row18_col8\" class=\"data row18 col8\" >-3.650000</td>\n",
       "      <td id=\"T_e8b33_row18_col9\" class=\"data row18 col9\" >-0.700000</td>\n",
       "      <td id=\"T_e8b33_row18_col10\" class=\"data row18 col10\" >0.490000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row19\" class=\"row_heading level0 row19\" >1133</th>\n",
       "      <td id=\"T_e8b33_row19_col0\" class=\"data row19 col0\" >2021-08-27 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row19_col1\" class=\"data row19 col1\" >18.560000</td>\n",
       "      <td id=\"T_e8b33_row19_col2\" class=\"data row19 col2\" >18.390000</td>\n",
       "      <td id=\"T_e8b33_row19_col3\" class=\"data row19 col3\" >18.880000</td>\n",
       "      <td id=\"T_e8b33_row19_col4\" class=\"data row19 col4\" >18.310000</td>\n",
       "      <td id=\"T_e8b33_row19_col5\" class=\"data row19 col5\" >728820</td>\n",
       "      <td id=\"T_e8b33_row19_col6\" class=\"data row19 col6\" >1354408976</td>\n",
       "      <td id=\"T_e8b33_row19_col7\" class=\"data row19 col7\" >3.090000</td>\n",
       "      <td id=\"T_e8b33_row19_col8\" class=\"data row19 col8\" >-0.380000</td>\n",
       "      <td id=\"T_e8b33_row19_col9\" class=\"data row19 col9\" >-0.070000</td>\n",
       "      <td id=\"T_e8b33_row19_col10\" class=\"data row19 col10\" >0.380000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row20\" class=\"row_heading level0 row20\" >1134</th>\n",
       "      <td id=\"T_e8b33_row20_col0\" class=\"data row20 col0\" >2021-08-30 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row20_col1\" class=\"data row20 col1\" >18.210000</td>\n",
       "      <td id=\"T_e8b33_row20_col2\" class=\"data row20 col2\" >17.720000</td>\n",
       "      <td id=\"T_e8b33_row20_col3\" class=\"data row20 col3\" >18.290000</td>\n",
       "      <td id=\"T_e8b33_row20_col4\" class=\"data row20 col4\" >17.550000</td>\n",
       "      <td id=\"T_e8b33_row20_col5\" class=\"data row20 col5\" >1252211</td>\n",
       "      <td id=\"T_e8b33_row20_col6\" class=\"data row20 col6\" >2221855856</td>\n",
       "      <td id=\"T_e8b33_row20_col7\" class=\"data row20 col7\" >4.020000</td>\n",
       "      <td id=\"T_e8b33_row20_col8\" class=\"data row20 col8\" >-3.640000</td>\n",
       "      <td id=\"T_e8b33_row20_col9\" class=\"data row20 col9\" >-0.670000</td>\n",
       "      <td id=\"T_e8b33_row20_col10\" class=\"data row20 col10\" >0.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e8b33_level0_row21\" class=\"row_heading level0 row21\" >1135</th>\n",
       "      <td id=\"T_e8b33_row21_col0\" class=\"data row21 col0\" >2021-08-31 00:00:00</td>\n",
       "      <td id=\"T_e8b33_row21_col1\" class=\"data row21 col1\" >17.720000</td>\n",
       "      <td id=\"T_e8b33_row21_col2\" class=\"data row21 col2\" >17.800000</td>\n",
       "      <td id=\"T_e8b33_row21_col3\" class=\"data row21 col3\" >17.930000</td>\n",
       "      <td id=\"T_e8b33_row21_col4\" class=\"data row21 col4\" >17.310000</td>\n",
       "      <td id=\"T_e8b33_row21_col5\" class=\"data row21 col5\" >1174868</td>\n",
       "      <td id=\"T_e8b33_row21_col6\" class=\"data row21 col6\" >2072006848</td>\n",
       "      <td id=\"T_e8b33_row21_col7\" class=\"data row21 col7\" >3.500000</td>\n",
       "      <td id=\"T_e8b33_row21_col8\" class=\"data row21 col8\" >0.450000</td>\n",
       "      <td id=\"T_e8b33_row21_col9\" class=\"data row21 col9\" >0.080000</td>\n",
       "      <td id=\"T_e8b33_row21_col10\" class=\"data row21 col10\" >0.610000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2108410fd00>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[(df1.日期 >= pd.to_datetime('2021-08-01')) & (df1.日期 <= pd.to_datetime('2021-08-31'))].style.highlight_between(right=0.0, subset=['涨跌幅'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![公众号：早起Python](http://liuzaoqi.oss-cn-beijing.aliyuncs.com/2021/09/18/16319660121648.jpg?域名/sample.jpg?x-oss-process=style/stylename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 14 - 日期筛选｜指定\n",
    "\n",
    "筛选 df2 时间为 2021-08-03 的全部数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>时间</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>换手率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [时间, 开盘, 收盘, 最高, 最低, 涨跌幅, 涨跌额, 成交量, 成交额, 振幅, 换手率]\n",
       "Index: []"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2[df2.时间.dt.date == '2021-08-03']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 15 - 金融计算｜涨跌额\n",
    "\n",
    "`df1` 新增一列 涨跌，计算前后两日收盘价之差\n",
    "\n",
    "注意：虽然我们的df1包含涨跌额列，但是这个操作很常用，所以练习一下"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>换手率</th>\n",
       "      <th>涨跌</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-01-03</td>\n",
       "      <td>8.27</td>\n",
       "      <td>8.32</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.25</td>\n",
       "      <td>459840</td>\n",
       "      <td>4.205952e+08</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.32</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.30</td>\n",
       "      <td>449330</td>\n",
       "      <td>4.115034e+08</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-01-05</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.31</td>\n",
       "      <td>344373</td>\n",
       "      <td>3.157697e+08</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.24</td>\n",
       "      <td>-0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-01-06</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>358154</td>\n",
       "      <td>3.271764e+08</td>\n",
       "      <td>0.72</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-01-09</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>361082</td>\n",
       "      <td>3.299946e+08</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1141</th>\n",
       "      <td>2021-09-08</td>\n",
       "      <td>19.24</td>\n",
       "      <td>19.23</td>\n",
       "      <td>19.55</td>\n",
       "      <td>19.10</td>\n",
       "      <td>1026201</td>\n",
       "      <td>1.979771e+09</td>\n",
       "      <td>2.34</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.53</td>\n",
       "      <td>-0.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1142</th>\n",
       "      <td>2021-09-09</td>\n",
       "      <td>19.11</td>\n",
       "      <td>19.00</td>\n",
       "      <td>19.15</td>\n",
       "      <td>18.80</td>\n",
       "      <td>739506</td>\n",
       "      <td>1.399536e+09</td>\n",
       "      <td>1.82</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.38</td>\n",
       "      <td>1.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1143</th>\n",
       "      <td>2021-09-10</td>\n",
       "      <td>18.89</td>\n",
       "      <td>20.57</td>\n",
       "      <td>20.77</td>\n",
       "      <td>18.84</td>\n",
       "      <td>2314945</td>\n",
       "      <td>4.668362e+09</td>\n",
       "      <td>10.16</td>\n",
       "      <td>8.26</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.19</td>\n",
       "      <td>-0.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>2021-09-13</td>\n",
       "      <td>20.36</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.51</td>\n",
       "      <td>19.81</td>\n",
       "      <td>1297228</td>\n",
       "      <td>2.606152e+09</td>\n",
       "      <td>3.40</td>\n",
       "      <td>-1.75</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>0.67</td>\n",
       "      <td>-0.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1145</th>\n",
       "      <td>2021-09-14</td>\n",
       "      <td>20.18</td>\n",
       "      <td>19.37</td>\n",
       "      <td>20.27</td>\n",
       "      <td>19.27</td>\n",
       "      <td>1158173</td>\n",
       "      <td>2.272080e+09</td>\n",
       "      <td>4.95</td>\n",
       "      <td>-4.16</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>0.60</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1146 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             日期     开盘     收盘     最高     最低      成交量           成交额     振幅  \\\n",
       "0    2017-01-03   8.27   8.32   8.34   8.25   459840  4.205952e+08   1.09   \n",
       "1    2017-01-04   8.31   8.32   8.34   8.30   449330  4.115034e+08   0.48   \n",
       "2    2017-01-05   8.33   8.33   8.34   8.31   344373  3.157697e+08   0.36   \n",
       "3    2017-01-06   8.33   8.29   8.33   8.27   358154  3.271764e+08   0.72   \n",
       "4    2017-01-09   8.29   8.31   8.33   8.27   361082  3.299946e+08   0.72   \n",
       "...         ...    ...    ...    ...    ...      ...           ...    ...   \n",
       "1141 2021-09-08  19.24  19.23  19.55  19.10  1026201  1.979771e+09   2.34   \n",
       "1142 2021-09-09  19.11  19.00  19.15  18.80   739506  1.399536e+09   1.82   \n",
       "1143 2021-09-10  18.89  20.57  20.77  18.84  2314945  4.668362e+09  10.16   \n",
       "1144 2021-09-13  20.36  20.21  20.51  19.81  1297228  2.606152e+09   3.40   \n",
       "1145 2021-09-14  20.18  19.37  20.27  19.27  1158173  2.272080e+09   4.95   \n",
       "\n",
       "       涨跌幅   涨跌额   换手率    涨跌  \n",
       "0     0.73  0.06  0.31  0.00  \n",
       "1     0.00  0.00  0.31  0.01  \n",
       "2     0.12  0.01  0.24 -0.04  \n",
       "3    -0.48 -0.04  0.24  0.02  \n",
       "4     0.24  0.02  0.21  0.00  \n",
       "...    ...   ...   ...   ...  \n",
       "1141 -0.05 -0.01  0.53 -0.23  \n",
       "1142 -1.20 -0.23  0.38  1.57  \n",
       "1143  8.26  1.57  1.19 -0.36  \n",
       "1144 -1.75 -0.36  0.67 -0.84  \n",
       "1145 -4.16 -0.84  0.60   NaN  \n",
       "\n",
       "[1146 rows x 12 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['涨跌'] = df1.shift(-1)['收盘'] - df1['收盘']\n",
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 16 - 金融计算｜涨跌幅\n",
    "\n",
    "`df1` 新增一列 涨跌变化率，计算前后两日收盘价之差的变化率\n",
    "\n",
    "注意：虽然我们的df1包含涨跌幅列，但是这个操作很常用，所以练习一下，结果可以用于验证"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>换手率</th>\n",
       "      <th>涨跌</th>\n",
       "      <th>涨跌变化率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-01-03</td>\n",
       "      <td>8.27</td>\n",
       "      <td>8.32</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.25</td>\n",
       "      <td>459840</td>\n",
       "      <td>4.205952e+08</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.32</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.30</td>\n",
       "      <td>449330</td>\n",
       "      <td>4.115034e+08</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.001202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-01-05</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.31</td>\n",
       "      <td>344373</td>\n",
       "      <td>3.157697e+08</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.24</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.003606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-01-06</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>358154</td>\n",
       "      <td>3.271764e+08</td>\n",
       "      <td>0.72</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.02</td>\n",
       "      <td>-0.002401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-01-09</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>361082</td>\n",
       "      <td>3.299946e+08</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.002413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1141</th>\n",
       "      <td>2021-09-08</td>\n",
       "      <td>19.24</td>\n",
       "      <td>19.23</td>\n",
       "      <td>19.55</td>\n",
       "      <td>19.10</td>\n",
       "      <td>1026201</td>\n",
       "      <td>1.979771e+09</td>\n",
       "      <td>2.34</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.53</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>-0.012474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1142</th>\n",
       "      <td>2021-09-09</td>\n",
       "      <td>19.11</td>\n",
       "      <td>19.00</td>\n",
       "      <td>19.15</td>\n",
       "      <td>18.80</td>\n",
       "      <td>739506</td>\n",
       "      <td>1.399536e+09</td>\n",
       "      <td>1.82</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.38</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.069683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1143</th>\n",
       "      <td>2021-09-10</td>\n",
       "      <td>18.89</td>\n",
       "      <td>20.57</td>\n",
       "      <td>20.77</td>\n",
       "      <td>18.84</td>\n",
       "      <td>2314945</td>\n",
       "      <td>4.668362e+09</td>\n",
       "      <td>10.16</td>\n",
       "      <td>8.26</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.19</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>0.063684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>2021-09-13</td>\n",
       "      <td>20.36</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.51</td>\n",
       "      <td>19.81</td>\n",
       "      <td>1297228</td>\n",
       "      <td>2.606152e+09</td>\n",
       "      <td>3.40</td>\n",
       "      <td>-1.75</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>0.67</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>-0.058337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1145</th>\n",
       "      <td>2021-09-14</td>\n",
       "      <td>20.18</td>\n",
       "      <td>19.37</td>\n",
       "      <td>20.27</td>\n",
       "      <td>19.27</td>\n",
       "      <td>1158173</td>\n",
       "      <td>2.272080e+09</td>\n",
       "      <td>4.95</td>\n",
       "      <td>-4.16</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>0.60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1146 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             日期     开盘     收盘     最高     最低      成交量           成交额     振幅  \\\n",
       "0    2017-01-03   8.27   8.32   8.34   8.25   459840  4.205952e+08   1.09   \n",
       "1    2017-01-04   8.31   8.32   8.34   8.30   449330  4.115034e+08   0.48   \n",
       "2    2017-01-05   8.33   8.33   8.34   8.31   344373  3.157697e+08   0.36   \n",
       "3    2017-01-06   8.33   8.29   8.33   8.27   358154  3.271764e+08   0.72   \n",
       "4    2017-01-09   8.29   8.31   8.33   8.27   361082  3.299946e+08   0.72   \n",
       "...         ...    ...    ...    ...    ...      ...           ...    ...   \n",
       "1141 2021-09-08  19.24  19.23  19.55  19.10  1026201  1.979771e+09   2.34   \n",
       "1142 2021-09-09  19.11  19.00  19.15  18.80   739506  1.399536e+09   1.82   \n",
       "1143 2021-09-10  18.89  20.57  20.77  18.84  2314945  4.668362e+09  10.16   \n",
       "1144 2021-09-13  20.36  20.21  20.51  19.81  1297228  2.606152e+09   3.40   \n",
       "1145 2021-09-14  20.18  19.37  20.27  19.27  1158173  2.272080e+09   4.95   \n",
       "\n",
       "       涨跌幅   涨跌额   换手率    涨跌     涨跌变化率  \n",
       "0     0.73  0.06  0.31  0.00       NaN  \n",
       "1     0.00  0.00  0.31  0.01  0.001202  \n",
       "2     0.12  0.01  0.24 -0.04 -0.003606  \n",
       "3    -0.48 -0.04  0.24  0.02 -0.002401  \n",
       "4     0.24  0.02  0.21  0.00  0.002413  \n",
       "...    ...   ...   ...   ...       ...  \n",
       "1141 -0.05 -0.01  0.53 -0.23 -0.012474  \n",
       "1142 -1.20 -0.23  0.38  1.57  0.069683  \n",
       "1143  8.26  1.57  1.19 -0.36  0.063684  \n",
       "1144 -1.75 -0.36  0.67 -0.84 -0.058337  \n",
       "1145 -4.16 -0.84  0.60   NaN       NaN  \n",
       "\n",
       "[1146 rows x 13 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['涨跌变化率'] = (df1.shift(-1).收盘 - df1.shift(1).收盘) / df1.shift(1).收盘\n",
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 17 - 金融计算｜移动均值\n",
    "\n",
    "计算收盘价的5日移动均线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['5日均值'] = df1.收盘.rolling(5, min_periods=1).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 18 - 金融计算｜移动均值（可视化）\n",
    "\n",
    "计算并绘制收盘价的5日移动均线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\songzhao\\AppData\\Local\\Temp/ipykernel_104688/2427062515.py:2: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_xticklabels(df1.日期.map(lambda x: x.strftime('%Y-%m-%d')))\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df1['5日均值'].plot(figsize=(12,6), color='c', alpha=0.8, grid=True)\n",
    "ax.set_xticklabels(df1.日期.map(lambda x: x.strftime('%Y-%m-%d')))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 19 - 金融计算｜移动均值（可视化）\n",
    "\n",
    "同时计算并绘制 df1 的收盘价、5日均线、20日均线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\songzhao\\AppData\\Local\\Temp/ipykernel_104688/877426594.py:3: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_xticklabels(df1.日期.map(lambda x: x.strftime('%Y-%m-%d')))\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1['20日均值'] = df1.收盘.rolling(20, min_periods=1).mean()\n",
    "ax = df1[['收盘', '5日均值', '20日均值']].plot(figsize=(12,8), grid = True)\n",
    "ax.set_xticklabels(df1.日期.map(lambda x: x.strftime('%Y-%m-%d')))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 20 - 金融计算｜指数移动平均值（EMA）\n",
    "\n",
    "根据 df1 计算 EMA20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1['收盘'].ewm(span=20).mean().plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 21 - 金融计算｜MACD\n",
    "\n",
    "计算 df1 的 MACD 指标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# MACD计算公式\n",
    "# MACD在应用上,，先计算出快速移动平均线即12日的EMA1，和慢速移动平均线，即26日的EMA2,，以这两个数值之间的差值得出DIFF,，然后再求出DIFF的9日平滑移动平均线DEA.，最后得出MACD=2×(DIFF－DEA). 。\n",
    "\n",
    "#ema1 = df1['收盘'].rolling(12,min_periods = 1).mean()\n",
    "ema1 = df1['收盘'].ewm(span=12, min_periods=1).mean()\n",
    "#ema2 = df1['收盘'].rolling(26,min_periods = 1).mean()\n",
    "ema2 = df1['收盘'].ewm(span=26, min_periods=1).mean()\n",
    "diff = ema2 - ema1\n",
    "dea = diff.rolling(9,min_periods=1).mean()\n",
    "macd = 2 * (diff - dea)\n",
    "\n",
    "macd.plot()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 22 - 金融计算｜布林指标\n",
    "\n",
    "计算并绘制布林指标，计算方法参考[百度百科](https://baike.baidu.com/item/%E5%B8%83%E6%9E%97%E7%BA%BF%E6%8C%87%E6%A0%87/3325894?fromtitle=%E5%B8%83%E6%9E%97%E6%8C%87%E6%A0%87&fromid=258891&fr=aladdin)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 23 - 日期移动｜值\n",
    "\n",
    "将 df1 的索引设置为日期，将 df1 数据向后移动一天"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>换手率</th>\n",
       "      <th>涨跌</th>\n",
       "      <th>涨跌变化率</th>\n",
       "      <th>5日均值</th>\n",
       "      <th>20日均值</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>日期</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-01-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-04</th>\n",
       "      <td>8.27</td>\n",
       "      <td>8.32</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.25</td>\n",
       "      <td>459840.0</td>\n",
       "      <td>4.205952e+08</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.320000</td>\n",
       "      <td>8.320000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-05</th>\n",
       "      <td>8.31</td>\n",
       "      <td>8.32</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.30</td>\n",
       "      <td>449330.0</td>\n",
       "      <td>4.115034e+08</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.001202</td>\n",
       "      <td>8.320000</td>\n",
       "      <td>8.320000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-06</th>\n",
       "      <td>8.33</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.31</td>\n",
       "      <td>344373.0</td>\n",
       "      <td>3.157697e+08</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.24</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.003606</td>\n",
       "      <td>8.323333</td>\n",
       "      <td>8.323333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-09</th>\n",
       "      <td>8.33</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>358154.0</td>\n",
       "      <td>3.271764e+08</td>\n",
       "      <td>0.72</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.02</td>\n",
       "      <td>-0.002401</td>\n",
       "      <td>8.315000</td>\n",
       "      <td>8.315000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-08</th>\n",
       "      <td>18.60</td>\n",
       "      <td>19.24</td>\n",
       "      <td>19.56</td>\n",
       "      <td>18.35</td>\n",
       "      <td>1622344.0</td>\n",
       "      <td>3.067366e+09</td>\n",
       "      <td>6.56</td>\n",
       "      <td>4.28</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.84</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.042276</td>\n",
       "      <td>18.402000</td>\n",
       "      <td>19.089500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-09</th>\n",
       "      <td>19.24</td>\n",
       "      <td>19.23</td>\n",
       "      <td>19.55</td>\n",
       "      <td>19.10</td>\n",
       "      <td>1026201.0</td>\n",
       "      <td>1.979771e+09</td>\n",
       "      <td>2.34</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.53</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>-0.012474</td>\n",
       "      <td>18.672000</td>\n",
       "      <td>19.060500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-10</th>\n",
       "      <td>19.11</td>\n",
       "      <td>19.00</td>\n",
       "      <td>19.15</td>\n",
       "      <td>18.80</td>\n",
       "      <td>739506.0</td>\n",
       "      <td>1.399536e+09</td>\n",
       "      <td>1.82</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.38</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.069683</td>\n",
       "      <td>18.792000</td>\n",
       "      <td>19.016000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-13</th>\n",
       "      <td>18.89</td>\n",
       "      <td>20.57</td>\n",
       "      <td>20.77</td>\n",
       "      <td>18.84</td>\n",
       "      <td>2314945.0</td>\n",
       "      <td>4.668362e+09</td>\n",
       "      <td>10.16</td>\n",
       "      <td>8.26</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.19</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>0.063684</td>\n",
       "      <td>19.298000</td>\n",
       "      <td>19.050000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-09-14</th>\n",
       "      <td>20.36</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.51</td>\n",
       "      <td>19.81</td>\n",
       "      <td>1297228.0</td>\n",
       "      <td>2.606152e+09</td>\n",
       "      <td>3.40</td>\n",
       "      <td>-1.75</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>0.67</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>-0.058337</td>\n",
       "      <td>19.650000</td>\n",
       "      <td>19.063000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1146 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               开盘     收盘     最高     最低        成交量           成交额     振幅   涨跌幅  \\\n",
       "日期                                                                             \n",
       "2017-01-03    NaN    NaN    NaN    NaN        NaN           NaN    NaN   NaN   \n",
       "2017-01-04   8.27   8.32   8.34   8.25   459840.0  4.205952e+08   1.09  0.73   \n",
       "2017-01-05   8.31   8.32   8.34   8.30   449330.0  4.115034e+08   0.48  0.00   \n",
       "2017-01-06   8.33   8.33   8.34   8.31   344373.0  3.157697e+08   0.36  0.12   \n",
       "2017-01-09   8.33   8.29   8.33   8.27   358154.0  3.271764e+08   0.72 -0.48   \n",
       "...           ...    ...    ...    ...        ...           ...    ...   ...   \n",
       "2021-09-08  18.60  19.24  19.56  18.35  1622344.0  3.067366e+09   6.56  4.28   \n",
       "2021-09-09  19.24  19.23  19.55  19.10  1026201.0  1.979771e+09   2.34 -0.05   \n",
       "2021-09-10  19.11  19.00  19.15  18.80   739506.0  1.399536e+09   1.82 -1.20   \n",
       "2021-09-13  18.89  20.57  20.77  18.84  2314945.0  4.668362e+09  10.16  8.26   \n",
       "2021-09-14  20.36  20.21  20.51  19.81  1297228.0  2.606152e+09   3.40 -1.75   \n",
       "\n",
       "             涨跌额   换手率    涨跌     涨跌变化率       5日均值      20日均值  \n",
       "日期                                                            \n",
       "2017-01-03   NaN   NaN   NaN       NaN        NaN        NaN  \n",
       "2017-01-04  0.06  0.31  0.00       NaN   8.320000   8.320000  \n",
       "2017-01-05  0.00  0.31  0.01  0.001202   8.320000   8.320000  \n",
       "2017-01-06  0.01  0.24 -0.04 -0.003606   8.323333   8.323333  \n",
       "2017-01-09 -0.04  0.24  0.02 -0.002401   8.315000   8.315000  \n",
       "...          ...   ...   ...       ...        ...        ...  \n",
       "2021-09-08  0.79  0.84 -0.01  0.042276  18.402000  19.089500  \n",
       "2021-09-09 -0.01  0.53 -0.23 -0.012474  18.672000  19.060500  \n",
       "2021-09-10 -0.23  0.38  1.57  0.069683  18.792000  19.016000  \n",
       "2021-09-13  1.57  1.19 -0.36  0.063684  19.298000  19.050000  \n",
       "2021-09-14 -0.36  0.67 -0.84 -0.058337  19.650000  19.063000  \n",
       "\n",
       "[1146 rows x 14 columns]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.set_index('日期').shift(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 24 - 日期移动｜索引\n",
    "\n",
    "将 df1 的索引设置为日期，并将全部日期向后移动一天"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2017-01-04', '2017-01-05', '2017-01-06', '2017-01-07',\n",
       "               '2017-01-10', '2017-01-11', '2017-01-12', '2017-01-13',\n",
       "               '2017-01-14', '2017-01-17',\n",
       "               ...\n",
       "               '2021-09-02', '2021-09-03', '2021-09-04', '2021-09-07',\n",
       "               '2021-09-08', '2021-09-09', '2021-09-10', '2021-09-11',\n",
       "               '2021-09-14', '2021-09-15'],\n",
       "              dtype='datetime64[ns]', name='日期', length=1146, freq=None)"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.set_index('日期').index + pd.Timedelta(days = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2017-01-04', '2017-01-05', '2017-01-06', '2017-01-07',\n",
       "               '2017-01-10', '2017-01-11', '2017-01-12', '2017-01-13',\n",
       "               '2017-01-14', '2017-01-17',\n",
       "               ...\n",
       "               '2021-09-02', '2021-09-03', '2021-09-04', '2021-09-07',\n",
       "               '2021-09-08', '2021-09-09', '2021-09-10', '2021-09-11',\n",
       "               '2021-09-14', '2021-09-15'],\n",
       "              dtype='datetime64[ns]', name='日期', length=1146, freq=None)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.set_index('日期').index.shift(1, freq='D')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 25 - 日期重采样｜日 -> 周\n",
    "\n",
    "按周对 df1 进行重采样，保留每周最后一个数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>换手率</th>\n",
       "      <th>涨跌</th>\n",
       "      <th>涨跌变化率</th>\n",
       "      <th>5日均值</th>\n",
       "      <th>20日均值</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-01-09</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>361082</td>\n",
       "      <td>3.299946e+08</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.002413</td>\n",
       "      <td>8.314</td>\n",
       "      <td>8.314000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2017-01-16</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.30</td>\n",
       "      <td>8.32</td>\n",
       "      <td>8.23</td>\n",
       "      <td>683166</td>\n",
       "      <td>6.230258e+08</td>\n",
       "      <td>1.08</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.001202</td>\n",
       "      <td>8.308</td>\n",
       "      <td>8.311000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2017-01-23</td>\n",
       "      <td>8.38</td>\n",
       "      <td>8.38</td>\n",
       "      <td>8.42</td>\n",
       "      <td>8.36</td>\n",
       "      <td>420299</td>\n",
       "      <td>3.880191e+08</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.005967</td>\n",
       "      <td>8.348</td>\n",
       "      <td>8.323333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2017-02-06</td>\n",
       "      <td>8.42</td>\n",
       "      <td>8.47</td>\n",
       "      <td>8.48</td>\n",
       "      <td>8.42</td>\n",
       "      <td>516786</td>\n",
       "      <td>4.804413e+08</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.31</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.004751</td>\n",
       "      <td>8.446</td>\n",
       "      <td>8.354000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2017-02-13</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.57</td>\n",
       "      <td>8.60</td>\n",
       "      <td>8.49</td>\n",
       "      <td>638365</td>\n",
       "      <td>5.999510e+08</td>\n",
       "      <td>1.30</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.38</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.008245</td>\n",
       "      <td>8.490</td>\n",
       "      <td>8.398000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1124</th>\n",
       "      <td>2021-08-16</td>\n",
       "      <td>20.09</td>\n",
       "      <td>19.95</td>\n",
       "      <td>20.20</td>\n",
       "      <td>19.57</td>\n",
       "      <td>627050</td>\n",
       "      <td>1.247681e+09</td>\n",
       "      <td>3.17</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.011061</td>\n",
       "      <td>19.854</td>\n",
       "      <td>18.953500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1129</th>\n",
       "      <td>2021-08-23</td>\n",
       "      <td>19.50</td>\n",
       "      <td>19.30</td>\n",
       "      <td>20.05</td>\n",
       "      <td>19.11</td>\n",
       "      <td>1191849</td>\n",
       "      <td>2.315872e+09</td>\n",
       "      <td>4.84</td>\n",
       "      <td>-0.62</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.003090</td>\n",
       "      <td>19.870</td>\n",
       "      <td>18.904500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1134</th>\n",
       "      <td>2021-08-30</td>\n",
       "      <td>18.21</td>\n",
       "      <td>17.72</td>\n",
       "      <td>18.29</td>\n",
       "      <td>17.55</td>\n",
       "      <td>1252211</td>\n",
       "      <td>2.221856e+09</td>\n",
       "      <td>4.02</td>\n",
       "      <td>-3.64</td>\n",
       "      <td>-0.67</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.08</td>\n",
       "      <td>-0.032083</td>\n",
       "      <td>18.618</td>\n",
       "      <td>19.100500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1139</th>\n",
       "      <td>2021-09-06</td>\n",
       "      <td>17.93</td>\n",
       "      <td>18.45</td>\n",
       "      <td>18.60</td>\n",
       "      <td>17.78</td>\n",
       "      <td>1515226</td>\n",
       "      <td>2.780281e+09</td>\n",
       "      <td>4.55</td>\n",
       "      <td>2.27</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.066519</td>\n",
       "      <td>18.114</td>\n",
       "      <td>19.114000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>2021-09-13</td>\n",
       "      <td>20.36</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.51</td>\n",
       "      <td>19.81</td>\n",
       "      <td>1297228</td>\n",
       "      <td>2.606152e+09</td>\n",
       "      <td>3.40</td>\n",
       "      <td>-1.75</td>\n",
       "      <td>-0.36</td>\n",
       "      <td>0.67</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>-0.058337</td>\n",
       "      <td>19.650</td>\n",
       "      <td>19.063000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>223 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             日期     开盘     收盘     最高     最低      成交量           成交额    振幅  \\\n",
       "4    2017-01-09   8.29   8.31   8.33   8.27   361082  3.299946e+08  0.72   \n",
       "9    2017-01-16   8.31   8.30   8.32   8.23   683166  6.230258e+08  1.08   \n",
       "14   2017-01-23   8.38   8.38   8.42   8.36   420299  3.880191e+08  0.72   \n",
       "19   2017-02-06   8.42   8.47   8.48   8.42   516786  4.804413e+08  0.71   \n",
       "24   2017-02-13   8.50   8.57   8.60   8.49   638365  5.999510e+08  1.30   \n",
       "...         ...    ...    ...    ...    ...      ...           ...   ...   \n",
       "1124 2021-08-16  20.09  19.95  20.20  19.57   627050  1.247681e+09  3.17   \n",
       "1129 2021-08-23  19.50  19.30  20.05  19.11  1191849  2.315872e+09  4.84   \n",
       "1134 2021-08-30  18.21  17.72  18.29  17.55  1252211  2.221856e+09  4.02   \n",
       "1139 2021-09-06  17.93  18.45  18.60  17.78  1515226  2.780281e+09  4.55   \n",
       "1144 2021-09-13  20.36  20.21  20.51  19.81  1297228  2.606152e+09  3.40   \n",
       "\n",
       "       涨跌幅   涨跌额   换手率    涨跌     涨跌变化率    5日均值      20日均值  \n",
       "4     0.24  0.02  0.21  0.00  0.002413   8.314   8.314000  \n",
       "9    -0.24 -0.02  0.40  0.01 -0.001202   8.308   8.311000  \n",
       "14    0.00  0.00  0.25  0.05  0.005967   8.348   8.323333  \n",
       "19    0.59  0.05  0.31 -0.01  0.004751   8.446   8.354000  \n",
       "24    0.94  0.08  0.38 -0.01  0.008245   8.490   8.398000  \n",
       "...    ...   ...   ...   ...       ...     ...        ...  \n",
       "1124  0.30  0.06  0.32 -0.28 -0.011061  19.854  18.953500  \n",
       "1129 -0.62 -0.12  0.61  0.06 -0.003090  19.870  18.904500  \n",
       "1134 -3.64 -0.67  0.65  0.08 -0.032083  18.618  19.100500  \n",
       "1139  2.27  0.41  0.78  0.79  0.066519  18.114  19.114000  \n",
       "1144 -1.75 -0.36  0.67 -0.84 -0.058337  19.650  19.063000  \n",
       "\n",
       "[223 rows x 15 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[df1.日期.isin(pd.date_range(start=df1.iloc[0].日期, end=df1.iloc[len(df1)-1].日期, freq='W-MON'))]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 26 - 日期重采样｜日 -> 月\n",
    "\n",
    "按月对 df1 进行重采样，保留每月最后一个数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>换手率</th>\n",
       "      <th>涨跌</th>\n",
       "      <th>涨跌变化率</th>\n",
       "      <th>5日均值</th>\n",
       "      <th>20日均值</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2017-02-28</td>\n",
       "      <td>8.59</td>\n",
       "      <td>8.64</td>\n",
       "      <td>8.67</td>\n",
       "      <td>8.58</td>\n",
       "      <td>369720</td>\n",
       "      <td>3.503669e+08</td>\n",
       "      <td>1.05</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.006985</td>\n",
       "      <td>8.658</td>\n",
       "      <td>8.5665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2017-03-31</td>\n",
       "      <td>8.24</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.24</td>\n",
       "      <td>633121</td>\n",
       "      <td>5.785790e+08</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.015777</td>\n",
       "      <td>8.284</td>\n",
       "      <td>8.4575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2017-05-31</td>\n",
       "      <td>8.26</td>\n",
       "      <td>8.36</td>\n",
       "      <td>8.39</td>\n",
       "      <td>8.22</td>\n",
       "      <td>1033211</td>\n",
       "      <td>9.487419e+08</td>\n",
       "      <td>2.06</td>\n",
       "      <td>1.21</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.61</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.010896</td>\n",
       "      <td>8.160</td>\n",
       "      <td>7.9735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2017-06-30</td>\n",
       "      <td>8.56</td>\n",
       "      <td>8.55</td>\n",
       "      <td>8.59</td>\n",
       "      <td>8.47</td>\n",
       "      <td>499633</td>\n",
       "      <td>4.680035e+08</td>\n",
       "      <td>1.40</td>\n",
       "      <td>-0.47</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.003492</td>\n",
       "      <td>8.542</td>\n",
       "      <td>8.3430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2017-07-31</td>\n",
       "      <td>10.12</td>\n",
       "      <td>9.99</td>\n",
       "      <td>10.14</td>\n",
       "      <td>9.77</td>\n",
       "      <td>1575864</td>\n",
       "      <td>1.671814e+09</td>\n",
       "      <td>3.68</td>\n",
       "      <td>-0.70</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.029821</td>\n",
       "      <td>10.068</td>\n",
       "      <td>9.6690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2017-08-31</td>\n",
       "      <td>10.71</td>\n",
       "      <td>10.60</td>\n",
       "      <td>10.76</td>\n",
       "      <td>10.47</td>\n",
       "      <td>1151786</td>\n",
       "      <td>1.297731e+09</td>\n",
       "      <td>2.70</td>\n",
       "      <td>-1.40</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>0.68</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-0.020465</td>\n",
       "      <td>10.688</td>\n",
       "      <td>10.1250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2017-10-31</td>\n",
       "      <td>10.87</td>\n",
       "      <td>10.86</td>\n",
       "      <td>10.90</td>\n",
       "      <td>10.71</td>\n",
       "      <td>627491</td>\n",
       "      <td>7.212375e+08</td>\n",
       "      <td>1.75</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.37</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>-0.014706</td>\n",
       "      <td>10.742</td>\n",
       "      <td>10.7060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>2017-11-30</td>\n",
       "      <td>13.02</td>\n",
       "      <td>12.70</td>\n",
       "      <td>13.05</td>\n",
       "      <td>12.58</td>\n",
       "      <td>1379636</td>\n",
       "      <td>1.866701e+09</td>\n",
       "      <td>3.58</td>\n",
       "      <td>-3.35</td>\n",
       "      <td>-0.44</td>\n",
       "      <td>0.82</td>\n",
       "      <td>-0.38</td>\n",
       "      <td>-0.062405</td>\n",
       "      <td>13.198</td>\n",
       "      <td>12.5160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>2018-01-31</td>\n",
       "      <td>12.92</td>\n",
       "      <td>13.37</td>\n",
       "      <td>13.37</td>\n",
       "      <td>12.85</td>\n",
       "      <td>1747729</td>\n",
       "      <td>2.423105e+09</td>\n",
       "      <td>4.01</td>\n",
       "      <td>3.08</td>\n",
       "      <td>0.40</td>\n",
       "      <td>1.03</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.029298</td>\n",
       "      <td>13.258</td>\n",
       "      <td>13.2490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>11.42</td>\n",
       "      <td>11.37</td>\n",
       "      <td>11.51</td>\n",
       "      <td>11.25</td>\n",
       "      <td>1214146</td>\n",
       "      <td>1.463314e+09</td>\n",
       "      <td>2.24</td>\n",
       "      <td>-1.98</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.72</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.020690</td>\n",
       "      <td>11.726</td>\n",
       "      <td>12.3780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2018-05-31</td>\n",
       "      <td>9.43</td>\n",
       "      <td>9.50</td>\n",
       "      <td>9.51</td>\n",
       "      <td>9.34</td>\n",
       "      <td>987360</td>\n",
       "      <td>9.992163e+08</td>\n",
       "      <td>1.81</td>\n",
       "      <td>1.06</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.011702</td>\n",
       "      <td>9.684</td>\n",
       "      <td>10.0880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2018-07-31</td>\n",
       "      <td>8.83</td>\n",
       "      <td>8.88</td>\n",
       "      <td>8.95</td>\n",
       "      <td>8.71</td>\n",
       "      <td>720151</td>\n",
       "      <td>6.744847e+08</td>\n",
       "      <td>2.71</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.42</td>\n",
       "      <td>-0.27</td>\n",
       "      <td>-0.027119</td>\n",
       "      <td>8.798</td>\n",
       "      <td>8.4140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>9.59</td>\n",
       "      <td>9.59</td>\n",
       "      <td>9.78</td>\n",
       "      <td>9.56</td>\n",
       "      <td>1310865</td>\n",
       "      <td>1.337899e+09</td>\n",
       "      <td>2.30</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.007307</td>\n",
       "      <td>9.708</td>\n",
       "      <td>8.8730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>2018-10-31</td>\n",
       "      <td>10.41</td>\n",
       "      <td>10.37</td>\n",
       "      <td>10.45</td>\n",
       "      <td>10.21</td>\n",
       "      <td>1152684</td>\n",
       "      <td>1.252157e+09</td>\n",
       "      <td>2.32</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.67</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>-0.006757</td>\n",
       "      <td>10.466</td>\n",
       "      <td>10.1165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>2018-11-30</td>\n",
       "      <td>9.68</td>\n",
       "      <td>9.82</td>\n",
       "      <td>9.82</td>\n",
       "      <td>9.63</td>\n",
       "      <td>594715</td>\n",
       "      <td>6.105715e+08</td>\n",
       "      <td>1.97</td>\n",
       "      <td>1.66</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.040373</td>\n",
       "      <td>9.732</td>\n",
       "      <td>10.0100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>2019-01-31</td>\n",
       "      <td>10.44</td>\n",
       "      <td>10.56</td>\n",
       "      <td>10.66</td>\n",
       "      <td>10.40</td>\n",
       "      <td>831623</td>\n",
       "      <td>9.226029e+08</td>\n",
       "      <td>2.50</td>\n",
       "      <td>1.44</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.024015</td>\n",
       "      <td>10.458</td>\n",
       "      <td>9.8290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>2019-02-28</td>\n",
       "      <td>11.90</td>\n",
       "      <td>11.82</td>\n",
       "      <td>12.07</td>\n",
       "      <td>11.73</td>\n",
       "      <td>1113100</td>\n",
       "      <td>1.383111e+09</td>\n",
       "      <td>2.87</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.030354</td>\n",
       "      <td>11.670</td>\n",
       "      <td>10.8910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>13.45</td>\n",
       "      <td>13.31</td>\n",
       "      <td>13.51</td>\n",
       "      <td>13.05</td>\n",
       "      <td>1116570</td>\n",
       "      <td>1.542959e+09</td>\n",
       "      <td>3.39</td>\n",
       "      <td>-1.84</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.65</td>\n",
       "      <td>-0.98</td>\n",
       "      <td>-0.090708</td>\n",
       "      <td>13.522</td>\n",
       "      <td>13.4270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>2019-05-31</td>\n",
       "      <td>11.62</td>\n",
       "      <td>11.64</td>\n",
       "      <td>11.86</td>\n",
       "      <td>11.57</td>\n",
       "      <td>686794</td>\n",
       "      <td>8.393757e+08</td>\n",
       "      <td>2.48</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.40</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.027397</td>\n",
       "      <td>11.792</td>\n",
       "      <td>11.9550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>627</th>\n",
       "      <td>2019-07-31</td>\n",
       "      <td>13.90</td>\n",
       "      <td>13.73</td>\n",
       "      <td>13.92</td>\n",
       "      <td>13.68</td>\n",
       "      <td>634723</td>\n",
       "      <td>8.992279e+08</td>\n",
       "      <td>1.72</td>\n",
       "      <td>-1.72</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>0.37</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.019327</td>\n",
       "      <td>13.844</td>\n",
       "      <td>13.5060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>2019-09-30</td>\n",
       "      <td>15.35</td>\n",
       "      <td>15.19</td>\n",
       "      <td>15.49</td>\n",
       "      <td>15.17</td>\n",
       "      <td>1046363</td>\n",
       "      <td>1.645829e+09</td>\n",
       "      <td>2.06</td>\n",
       "      <td>-2.00</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.019355</td>\n",
       "      <td>15.226</td>\n",
       "      <td>14.4925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>2019-10-31</td>\n",
       "      <td>16.02</td>\n",
       "      <td>15.86</td>\n",
       "      <td>16.07</td>\n",
       "      <td>15.84</td>\n",
       "      <td>862569</td>\n",
       "      <td>1.407006e+09</td>\n",
       "      <td>1.43</td>\n",
       "      <td>-1.06</td>\n",
       "      <td>-0.17</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.026825</td>\n",
       "      <td>16.228</td>\n",
       "      <td>16.1580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>2019-12-31</td>\n",
       "      <td>16.17</td>\n",
       "      <td>16.05</td>\n",
       "      <td>16.23</td>\n",
       "      <td>15.91</td>\n",
       "      <td>704442</td>\n",
       "      <td>1.154704e+09</td>\n",
       "      <td>1.98</td>\n",
       "      <td>-0.74</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.018553</td>\n",
       "      <td>16.084</td>\n",
       "      <td>15.6875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>2020-03-31</td>\n",
       "      <td>12.65</td>\n",
       "      <td>12.40</td>\n",
       "      <td>12.69</td>\n",
       "      <td>12.38</td>\n",
       "      <td>513370</td>\n",
       "      <td>6.629155e+08</td>\n",
       "      <td>2.47</td>\n",
       "      <td>-1.12</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.09</td>\n",
       "      <td>-0.003987</td>\n",
       "      <td>12.564</td>\n",
       "      <td>13.2205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>13.62</td>\n",
       "      <td>13.53</td>\n",
       "      <td>13.92</td>\n",
       "      <td>13.48</td>\n",
       "      <td>819540</td>\n",
       "      <td>1.155968e+09</td>\n",
       "      <td>3.23</td>\n",
       "      <td>-0.66</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.42</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.018355</td>\n",
       "      <td>13.242</td>\n",
       "      <td>12.6885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>847</th>\n",
       "      <td>2020-06-30</td>\n",
       "      <td>12.65</td>\n",
       "      <td>12.62</td>\n",
       "      <td>12.70</td>\n",
       "      <td>12.54</td>\n",
       "      <td>937940</td>\n",
       "      <td>1.199182e+09</td>\n",
       "      <td>1.27</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.025357</td>\n",
       "      <td>12.548</td>\n",
       "      <td>12.9290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>2020-07-31</td>\n",
       "      <td>13.10</td>\n",
       "      <td>13.16</td>\n",
       "      <td>13.35</td>\n",
       "      <td>13.07</td>\n",
       "      <td>1165822</td>\n",
       "      <td>1.559068e+09</td>\n",
       "      <td>2.12</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.016679</td>\n",
       "      <td>13.186</td>\n",
       "      <td>14.1905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891</th>\n",
       "      <td>2020-08-31</td>\n",
       "      <td>15.12</td>\n",
       "      <td>14.90</td>\n",
       "      <td>15.50</td>\n",
       "      <td>14.81</td>\n",
       "      <td>1797130</td>\n",
       "      <td>2.760350e+09</td>\n",
       "      <td>4.62</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.000669</td>\n",
       "      <td>14.548</td>\n",
       "      <td>14.2745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>913</th>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>14.62</td>\n",
       "      <td>14.99</td>\n",
       "      <td>15.09</td>\n",
       "      <td>14.62</td>\n",
       "      <td>1217065</td>\n",
       "      <td>1.838548e+09</td>\n",
       "      <td>3.21</td>\n",
       "      <td>2.53</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.025992</td>\n",
       "      <td>14.938</td>\n",
       "      <td>15.1285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>950</th>\n",
       "      <td>2020-11-30</td>\n",
       "      <td>19.72</td>\n",
       "      <td>19.56</td>\n",
       "      <td>20.70</td>\n",
       "      <td>19.41</td>\n",
       "      <td>1581441</td>\n",
       "      <td>3.213680e+09</td>\n",
       "      <td>6.61</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.017930</td>\n",
       "      <td>19.292</td>\n",
       "      <td>18.2485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>19.03</td>\n",
       "      <td>19.16</td>\n",
       "      <td>19.40</td>\n",
       "      <td>18.84</td>\n",
       "      <td>924503</td>\n",
       "      <td>1.781736e+09</td>\n",
       "      <td>2.94</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.48</td>\n",
       "      <td>-0.74</td>\n",
       "      <td>-0.031546</td>\n",
       "      <td>18.740</td>\n",
       "      <td>18.5090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1031</th>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>21.59</td>\n",
       "      <td>21.83</td>\n",
       "      <td>21.89</td>\n",
       "      <td>21.42</td>\n",
       "      <td>777028</td>\n",
       "      <td>1.699922e+09</td>\n",
       "      <td>2.16</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.40</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>-0.006897</td>\n",
       "      <td>21.284</td>\n",
       "      <td>21.2275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1052</th>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>23.17</td>\n",
       "      <td>23.11</td>\n",
       "      <td>23.31</td>\n",
       "      <td>22.83</td>\n",
       "      <td>561981</td>\n",
       "      <td>1.308177e+09</td>\n",
       "      <td>2.05</td>\n",
       "      <td>-1.28</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.21</td>\n",
       "      <td>-0.003845</td>\n",
       "      <td>23.042</td>\n",
       "      <td>21.7540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1070</th>\n",
       "      <td>2021-05-31</td>\n",
       "      <td>24.33</td>\n",
       "      <td>24.20</td>\n",
       "      <td>24.53</td>\n",
       "      <td>23.91</td>\n",
       "      <td>515351</td>\n",
       "      <td>1.244209e+09</td>\n",
       "      <td>2.53</td>\n",
       "      <td>-1.22</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>0.27</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.023673</td>\n",
       "      <td>24.620</td>\n",
       "      <td>23.7655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1091</th>\n",
       "      <td>2021-06-30</td>\n",
       "      <td>22.36</td>\n",
       "      <td>22.62</td>\n",
       "      <td>22.93</td>\n",
       "      <td>22.35</td>\n",
       "      <td>403435</td>\n",
       "      <td>9.132852e+08</td>\n",
       "      <td>2.60</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.038496</td>\n",
       "      <td>22.836</td>\n",
       "      <td>23.3965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1135</th>\n",
       "      <td>2021-08-31</td>\n",
       "      <td>17.72</td>\n",
       "      <td>17.80</td>\n",
       "      <td>17.93</td>\n",
       "      <td>17.31</td>\n",
       "      <td>1174868</td>\n",
       "      <td>2.072007e+09</td>\n",
       "      <td>3.50</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.009029</td>\n",
       "      <td>18.306</td>\n",
       "      <td>19.0960</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             日期     开盘     收盘     最高     最低      成交量           成交额    振幅  \\\n",
       "35   2017-02-28   8.59   8.64   8.67   8.58   369720  3.503669e+08  1.05   \n",
       "58   2017-03-31   8.24   8.33   8.34   8.24   633121  5.785790e+08  1.21   \n",
       "96   2017-05-31   8.26   8.36   8.39   8.22  1033211  9.487419e+08  2.06   \n",
       "118  2017-06-30   8.56   8.55   8.59   8.47   499633  4.680035e+08  1.40   \n",
       "139  2017-07-31  10.12   9.99  10.14   9.77  1575864  1.671814e+09  3.68   \n",
       "162  2017-08-31  10.71  10.60  10.76  10.47  1151786  1.297731e+09  2.70   \n",
       "200  2017-10-31  10.87  10.86  10.90  10.71   627491  7.212375e+08  1.75   \n",
       "222  2017-11-30  13.02  12.70  13.05  12.58  1379636  1.866701e+09  3.58   \n",
       "265  2018-01-31  12.92  13.37  13.37  12.85  1747729  2.423105e+09  4.01   \n",
       "280  2018-02-28  11.42  11.37  11.51  11.25  1214146  1.463314e+09  2.24   \n",
       "342  2018-05-31   9.43   9.50   9.51   9.34   987360  9.992163e+08  1.81   \n",
       "384  2018-07-31   8.83   8.88   8.95   8.71   720151  6.744847e+08  2.71   \n",
       "407  2018-08-31   9.59   9.59   9.78   9.56  1310865  1.337899e+09  2.30   \n",
       "444  2018-10-31  10.41  10.37  10.45  10.21  1152684  1.252157e+09  2.32   \n",
       "466  2018-11-30   9.68   9.82   9.82   9.63   594715  6.105715e+08  1.97   \n",
       "508  2019-01-31  10.44  10.56  10.66  10.40   831623  9.226029e+08  2.50   \n",
       "523  2019-02-28  11.90  11.82  12.07  11.73  1113100  1.383111e+09  2.87   \n",
       "565  2019-04-30  13.45  13.31  13.51  13.05  1116570  1.542959e+09  3.39   \n",
       "585  2019-05-31  11.62  11.64  11.86  11.57   686794  8.393757e+08  2.48   \n",
       "627  2019-07-31  13.90  13.73  13.92  13.68   634723  8.992279e+08  1.72   \n",
       "669  2019-09-30  15.35  15.19  15.49  15.17  1046363  1.645829e+09  2.06   \n",
       "687  2019-10-31  16.02  15.86  16.07  15.84   862569  1.407006e+09  1.43   \n",
       "730  2019-12-31  16.17  16.05  16.23  15.91   704442  1.154704e+09  1.98   \n",
       "788  2020-03-31  12.65  12.40  12.69  12.38   513370  6.629155e+08  2.47   \n",
       "809  2020-04-30  13.62  13.53  13.92  13.48   819540  1.155968e+09  3.23   \n",
       "847  2020-06-30  12.65  12.62  12.70  12.54   937940  1.199182e+09  1.27   \n",
       "870  2020-07-31  13.10  13.16  13.35  13.07  1165822  1.559068e+09  2.12   \n",
       "891  2020-08-31  15.12  14.90  15.50  14.81  1797130  2.760350e+09  4.62   \n",
       "913  2020-09-30  14.62  14.99  15.09  14.62  1217065  1.838548e+09  3.21   \n",
       "950  2020-11-30  19.72  19.56  20.70  19.41  1581441  3.213680e+09  6.61   \n",
       "973  2020-12-31  19.03  19.16  19.40  18.84   924503  1.781736e+09  2.94   \n",
       "1031 2021-03-31  21.59  21.83  21.89  21.42   777028  1.699922e+09  2.16   \n",
       "1052 2021-04-30  23.17  23.11  23.31  22.83   561981  1.308177e+09  2.05   \n",
       "1070 2021-05-31  24.33  24.20  24.53  23.91   515351  1.244209e+09  2.53   \n",
       "1091 2021-06-30  22.36  22.62  22.93  22.35   403435  9.132852e+08  2.60   \n",
       "1135 2021-08-31  17.72  17.80  17.93  17.31  1174868  2.072007e+09  3.50   \n",
       "\n",
       "       涨跌幅   涨跌额   换手率    涨跌     涨跌变化率    5日均值    20日均值  \n",
       "35    0.58  0.05  0.22  0.01  0.006985   8.658   8.5665  \n",
       "58    1.09  0.09  0.37  0.04  0.015777   8.284   8.4575  \n",
       "96    1.21  0.10  0.61 -0.01  0.010896   8.160   7.9735  \n",
       "118  -0.47 -0.04  0.30  0.01 -0.003492   8.542   8.3430  \n",
       "139  -0.70 -0.07  0.93  0.37  0.029821  10.068   9.6690  \n",
       "162  -1.40 -0.15  0.68 -0.07 -0.020465  10.688  10.1250  \n",
       "200  -0.18 -0.02  0.37 -0.14 -0.014706  10.742  10.7060  \n",
       "222  -3.35 -0.44  0.82 -0.38 -0.062405  13.198  12.5160  \n",
       "265   3.08  0.40  1.03 -0.02  0.029298  13.258  13.2490  \n",
       "280  -1.98 -0.23  0.72 -0.01 -0.020690  11.726  12.3780  \n",
       "342   1.06  0.10  0.58  0.01  0.011702   9.684  10.0880  \n",
       "384   0.34  0.03  0.42 -0.27 -0.027119   8.798   8.4140  \n",
       "407   0.10  0.01  0.76  0.06  0.007307   9.708   8.8730  \n",
       "444   0.10  0.01  0.67 -0.08 -0.006757  10.466  10.1165  \n",
       "466   1.66  0.16  0.35  0.23  0.040373   9.732  10.0100  \n",
       "508   1.44  0.15  0.48  0.10  0.024015  10.458   9.8290  \n",
       "523  -0.34 -0.04  0.65  0.40  0.030354  11.670  10.8910  \n",
       "565  -1.84 -0.25  0.65 -0.98 -0.090708  13.522  13.4270  \n",
       "585  -0.34 -0.04  0.40 -0.28 -0.027397  11.792  11.9550  \n",
       "627  -1.72 -0.24  0.37 -0.03 -0.019327  13.844  13.5060  \n",
       "669  -2.00 -0.31  0.54  0.61  0.019355  15.226  14.4925  \n",
       "687  -1.06 -0.17  0.44  0.60  0.026825  16.228  16.1580  \n",
       "730  -0.74 -0.12  0.36  0.42  0.018553  16.084  15.6875  \n",
       "788  -1.12 -0.14  0.26  0.09 -0.003987  12.564  13.2205  \n",
       "809  -0.66 -0.09  0.42 -0.16 -0.018355  13.242  12.6885  \n",
       "847   0.00  0.00  0.48  0.32  0.025357  12.548  12.9290  \n",
       "870  -0.23 -0.03  0.60  0.25  0.016679  13.186  14.1905  \n",
       "891  -0.33 -0.05  0.93  0.06  0.000669  14.548  14.2745  \n",
       "913   2.53  0.37  0.63  0.01  0.025992  14.938  15.1285  \n",
       "950   0.20  0.04  0.81  0.31  0.017930  19.292  18.2485  \n",
       "973   0.74  0.14  0.48 -0.74 -0.031546  18.740  18.5090  \n",
       "1031  0.37  0.08  0.40 -0.23 -0.006897  21.284  21.2275  \n",
       "1052 -1.28 -0.30  0.29  0.21 -0.003845  23.042  21.7540  \n",
       "1070 -1.22 -0.30  0.27 -0.28 -0.023673  24.620  23.7655  \n",
       "1091  1.25  0.28  0.21  0.58  0.038496  22.836  23.3965  \n",
       "1135  0.45  0.08  0.61  0.08  0.009029  18.306  19.0960  "
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[df1.日期.isin(pd.date_range(start=df1.iloc[0].日期, end=df1.iloc[len(df1)-1].日期, freq='M'))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 27 - 日期重采样｜分钟 -> 日\n",
    "\n",
    "按日对 df2 进行重采样，保留每天最后一个数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>时间</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>换手率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021-08-03 15:00:00</td>\n",
       "      <td>17.92</td>\n",
       "      <td>17.89</td>\n",
       "      <td>17.94</td>\n",
       "      <td>17.89</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>20126</td>\n",
       "      <td>36034747</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2021-08-04 15:00:00</td>\n",
       "      <td>17.81</td>\n",
       "      <td>17.81</td>\n",
       "      <td>17.82</td>\n",
       "      <td>17.80</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12422</td>\n",
       "      <td>22122442</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2021-08-05 15:00:00</td>\n",
       "      <td>17.64</td>\n",
       "      <td>17.68</td>\n",
       "      <td>17.68</td>\n",
       "      <td>17.64</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.03</td>\n",
       "      <td>15602</td>\n",
       "      <td>27568733</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2021-08-06 15:00:00</td>\n",
       "      <td>17.84</td>\n",
       "      <td>17.86</td>\n",
       "      <td>17.87</td>\n",
       "      <td>17.84</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.01</td>\n",
       "      <td>13251</td>\n",
       "      <td>23647402</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2021-08-09 15:00:00</td>\n",
       "      <td>19.07</td>\n",
       "      <td>19.06</td>\n",
       "      <td>19.09</td>\n",
       "      <td>19.06</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>16831</td>\n",
       "      <td>32092450</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>2021-08-10 15:00:00</td>\n",
       "      <td>19.72</td>\n",
       "      <td>19.73</td>\n",
       "      <td>19.74</td>\n",
       "      <td>19.70</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.01</td>\n",
       "      <td>14968</td>\n",
       "      <td>29523092</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2021-08-11 15:00:00</td>\n",
       "      <td>19.74</td>\n",
       "      <td>19.81</td>\n",
       "      <td>19.81</td>\n",
       "      <td>19.74</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.07</td>\n",
       "      <td>17181</td>\n",
       "      <td>34015140</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2021-08-12 15:00:00</td>\n",
       "      <td>19.89</td>\n",
       "      <td>19.89</td>\n",
       "      <td>19.89</td>\n",
       "      <td>19.87</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7066</td>\n",
       "      <td>14051666</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>2021-08-13 15:00:00</td>\n",
       "      <td>19.87</td>\n",
       "      <td>19.89</td>\n",
       "      <td>19.89</td>\n",
       "      <td>19.85</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.04</td>\n",
       "      <td>11754</td>\n",
       "      <td>23367450</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>2021-08-16 15:00:00</td>\n",
       "      <td>19.91</td>\n",
       "      <td>19.95</td>\n",
       "      <td>19.95</td>\n",
       "      <td>19.89</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.04</td>\n",
       "      <td>8498</td>\n",
       "      <td>16936079</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>2021-08-17 15:00:00</td>\n",
       "      <td>19.69</td>\n",
       "      <td>19.67</td>\n",
       "      <td>19.70</td>\n",
       "      <td>19.66</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>7809</td>\n",
       "      <td>15366451</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>2021-08-18 15:00:00</td>\n",
       "      <td>20.66</td>\n",
       "      <td>20.62</td>\n",
       "      <td>20.69</td>\n",
       "      <td>20.62</td>\n",
       "      <td>-0.24</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>25252</td>\n",
       "      <td>52116616</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>2021-08-19 15:00:00</td>\n",
       "      <td>20.32</td>\n",
       "      <td>20.34</td>\n",
       "      <td>20.34</td>\n",
       "      <td>20.31</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.03</td>\n",
       "      <td>13753</td>\n",
       "      <td>27959791</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>2021-08-20 15:00:00</td>\n",
       "      <td>19.43</td>\n",
       "      <td>19.42</td>\n",
       "      <td>19.43</td>\n",
       "      <td>19.39</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>24246</td>\n",
       "      <td>47066098</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>2021-08-23 15:00:00</td>\n",
       "      <td>19.28</td>\n",
       "      <td>19.30</td>\n",
       "      <td>19.30</td>\n",
       "      <td>19.28</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.03</td>\n",
       "      <td>10652</td>\n",
       "      <td>20550733</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>2021-08-24 15:00:00</td>\n",
       "      <td>19.35</td>\n",
       "      <td>19.36</td>\n",
       "      <td>19.40</td>\n",
       "      <td>19.34</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.02</td>\n",
       "      <td>15313</td>\n",
       "      <td>29654613</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>815</th>\n",
       "      <td>2021-08-25 15:00:00</td>\n",
       "      <td>19.13</td>\n",
       "      <td>19.16</td>\n",
       "      <td>19.16</td>\n",
       "      <td>19.12</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.03</td>\n",
       "      <td>13365</td>\n",
       "      <td>25584226</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>2021-08-26 15:00:00</td>\n",
       "      <td>18.49</td>\n",
       "      <td>18.46</td>\n",
       "      <td>18.50</td>\n",
       "      <td>18.46</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>19175</td>\n",
       "      <td>35413342</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>911</th>\n",
       "      <td>2021-08-27 15:00:00</td>\n",
       "      <td>18.37</td>\n",
       "      <td>18.39</td>\n",
       "      <td>18.39</td>\n",
       "      <td>18.33</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.01</td>\n",
       "      <td>17200</td>\n",
       "      <td>31599250</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>959</th>\n",
       "      <td>2021-08-30 15:00:00</td>\n",
       "      <td>17.70</td>\n",
       "      <td>17.72</td>\n",
       "      <td>17.72</td>\n",
       "      <td>17.68</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.02</td>\n",
       "      <td>21632</td>\n",
       "      <td>38313644</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1007</th>\n",
       "      <td>2021-08-31 15:00:00</td>\n",
       "      <td>17.79</td>\n",
       "      <td>17.80</td>\n",
       "      <td>17.81</td>\n",
       "      <td>17.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>31650</td>\n",
       "      <td>56333592</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1055</th>\n",
       "      <td>2021-09-01 15:00:00</td>\n",
       "      <td>17.83</td>\n",
       "      <td>17.88</td>\n",
       "      <td>17.88</td>\n",
       "      <td>17.83</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.04</td>\n",
       "      <td>36280</td>\n",
       "      <td>64831004</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1103</th>\n",
       "      <td>2021-09-02 15:00:00</td>\n",
       "      <td>18.37</td>\n",
       "      <td>18.40</td>\n",
       "      <td>18.44</td>\n",
       "      <td>18.34</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.04</td>\n",
       "      <td>53423</td>\n",
       "      <td>98264475</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1151</th>\n",
       "      <td>2021-09-03 15:00:00</td>\n",
       "      <td>18.06</td>\n",
       "      <td>18.04</td>\n",
       "      <td>18.07</td>\n",
       "      <td>18.04</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>24983</td>\n",
       "      <td>45082686</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1199</th>\n",
       "      <td>2021-09-06 15:00:00</td>\n",
       "      <td>18.46</td>\n",
       "      <td>18.45</td>\n",
       "      <td>18.47</td>\n",
       "      <td>18.45</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>23588</td>\n",
       "      <td>43525979</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1247</th>\n",
       "      <td>2021-09-07 15:00:00</td>\n",
       "      <td>19.22</td>\n",
       "      <td>19.24</td>\n",
       "      <td>19.25</td>\n",
       "      <td>19.20</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.03</td>\n",
       "      <td>32054</td>\n",
       "      <td>61625241</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>2021-09-08 15:00:00</td>\n",
       "      <td>19.21</td>\n",
       "      <td>19.23</td>\n",
       "      <td>19.23</td>\n",
       "      <td>19.19</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.03</td>\n",
       "      <td>16550</td>\n",
       "      <td>31803231</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1343</th>\n",
       "      <td>2021-09-09 15:00:00</td>\n",
       "      <td>18.97</td>\n",
       "      <td>19.00</td>\n",
       "      <td>19.00</td>\n",
       "      <td>18.97</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.03</td>\n",
       "      <td>19752</td>\n",
       "      <td>37520759</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1391</th>\n",
       "      <td>2021-09-10 15:00:00</td>\n",
       "      <td>20.60</td>\n",
       "      <td>20.57</td>\n",
       "      <td>20.62</td>\n",
       "      <td>20.57</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>38082</td>\n",
       "      <td>78398933</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1439</th>\n",
       "      <td>2021-09-13 15:00:00</td>\n",
       "      <td>20.20</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.22</td>\n",
       "      <td>20.19</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.01</td>\n",
       "      <td>17593</td>\n",
       "      <td>35555623</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      时间     开盘     收盘     最高     最低   涨跌幅   涨跌额    成交量  \\\n",
       "47   2021-08-03 15:00:00  17.92  17.89  17.94  17.89 -0.22 -0.04  20126   \n",
       "95   2021-08-04 15:00:00  17.81  17.81  17.82  17.80  0.00  0.00  12422   \n",
       "143  2021-08-05 15:00:00  17.64  17.68  17.68  17.64  0.17  0.03  15602   \n",
       "191  2021-08-06 15:00:00  17.84  17.86  17.87  17.84  0.06  0.01  13251   \n",
       "239  2021-08-09 15:00:00  19.07  19.06  19.09  19.06 -0.16 -0.03  16831   \n",
       "287  2021-08-10 15:00:00  19.72  19.73  19.74  19.70  0.05  0.01  14968   \n",
       "335  2021-08-11 15:00:00  19.74  19.81  19.81  19.74  0.35  0.07  17181   \n",
       "383  2021-08-12 15:00:00  19.89  19.89  19.89  19.87  0.00  0.00   7066   \n",
       "431  2021-08-13 15:00:00  19.87  19.89  19.89  19.85  0.20  0.04  11754   \n",
       "479  2021-08-16 15:00:00  19.91  19.95  19.95  19.89  0.20  0.04   8498   \n",
       "527  2021-08-17 15:00:00  19.69  19.67  19.70  19.66 -0.15 -0.03   7809   \n",
       "575  2021-08-18 15:00:00  20.66  20.62  20.69  20.62 -0.24 -0.05  25252   \n",
       "623  2021-08-19 15:00:00  20.32  20.34  20.34  20.31  0.15  0.03  13753   \n",
       "671  2021-08-20 15:00:00  19.43  19.42  19.43  19.39  0.00  0.00  24246   \n",
       "719  2021-08-23 15:00:00  19.28  19.30  19.30  19.28  0.16  0.03  10652   \n",
       "767  2021-08-24 15:00:00  19.35  19.36  19.40  19.34  0.10  0.02  15313   \n",
       "815  2021-08-25 15:00:00  19.13  19.16  19.16  19.12  0.16  0.03  13365   \n",
       "863  2021-08-26 15:00:00  18.49  18.46  18.50  18.46 -0.16 -0.03  19175   \n",
       "911  2021-08-27 15:00:00  18.37  18.39  18.39  18.33  0.05  0.01  17200   \n",
       "959  2021-08-30 15:00:00  17.70  17.72  17.72  17.68  0.11  0.02  21632   \n",
       "1007 2021-08-31 15:00:00  17.79  17.80  17.81  17.78  0.00  0.00  31650   \n",
       "1055 2021-09-01 15:00:00  17.83  17.88  17.88  17.83  0.22  0.04  36280   \n",
       "1103 2021-09-02 15:00:00  18.37  18.40  18.44  18.34  0.22  0.04  53423   \n",
       "1151 2021-09-03 15:00:00  18.06  18.04  18.07  18.04 -0.11 -0.02  24983   \n",
       "1199 2021-09-06 15:00:00  18.46  18.45  18.47  18.45  0.00  0.00  23588   \n",
       "1247 2021-09-07 15:00:00  19.22  19.24  19.25  19.20  0.16  0.03  32054   \n",
       "1295 2021-09-08 15:00:00  19.21  19.23  19.23  19.19  0.16  0.03  16550   \n",
       "1343 2021-09-09 15:00:00  18.97  19.00  19.00  18.97  0.16  0.03  19752   \n",
       "1391 2021-09-10 15:00:00  20.60  20.57  20.62  20.57 -0.15 -0.03  38082   \n",
       "1439 2021-09-13 15:00:00  20.20  20.21  20.22  20.19  0.05  0.01  17593   \n",
       "\n",
       "           成交额    振幅   换手率  \n",
       "47    36034747  0.28  0.01  \n",
       "95    22122442  0.11  0.01  \n",
       "143   27568733  0.23  0.01  \n",
       "191   23647402  0.17  0.01  \n",
       "239   32092450  0.16  0.01  \n",
       "287   29523092  0.20  0.01  \n",
       "335   34015140  0.35  0.01  \n",
       "383   14051666  0.10  0.00  \n",
       "431   23367450  0.20  0.01  \n",
       "479   16936079  0.30  0.00  \n",
       "527   15366451  0.20  0.00  \n",
       "575   52116616  0.34  0.01  \n",
       "623   27959791  0.15  0.01  \n",
       "671   47066098  0.21  0.01  \n",
       "719   20550733  0.10  0.01  \n",
       "767   29654613  0.31  0.01  \n",
       "815   25584226  0.21  0.01  \n",
       "863   35413342  0.22  0.01  \n",
       "911   31599250  0.33  0.01  \n",
       "959   38313644  0.23  0.01  \n",
       "1007  56333592  0.17  0.02  \n",
       "1055  64831004  0.28  0.02  \n",
       "1103  98264475  0.54  0.03  \n",
       "1151  45082686  0.17  0.01  \n",
       "1199  43525979  0.11  0.01  \n",
       "1247  61625241  0.26  0.02  \n",
       "1295  31803231  0.21  0.01  \n",
       "1343  37520759  0.16  0.01  \n",
       "1391  78398933  0.24  0.02  \n",
       "1439  35555623  0.15  0.01  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2[~df2.时间.dt.date.duplicated(keep='last')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "微信搜索公众号「早起Python」，关注后可以获得更多资源！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 28 - 日期重采样｜低频 -> 高频\n",
    "\n",
    "将 df2 的 5分钟 数据改为 3分钟，缺失数据向前填充"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>时间</th>\n",
       "      <th>开盘</th>\n",
       "      <th>收盘</th>\n",
       "      <th>最高</th>\n",
       "      <th>最低</th>\n",
       "      <th>涨跌幅</th>\n",
       "      <th>涨跌额</th>\n",
       "      <th>成交量</th>\n",
       "      <th>成交额</th>\n",
       "      <th>振幅</th>\n",
       "      <th>换手率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-08-03 09:35:00</td>\n",
       "      <td>17.99</td>\n",
       "      <td>17.78</td>\n",
       "      <td>18.02</td>\n",
       "      <td>17.75</td>\n",
       "      <td>-1.28</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>52807</td>\n",
       "      <td>94339287</td>\n",
       "      <td>1.50</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-08-03 09:40:00</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.76</td>\n",
       "      <td>17.83</td>\n",
       "      <td>17.66</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>41508</td>\n",
       "      <td>73683531</td>\n",
       "      <td>0.96</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-08-03 09:45:00</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.83</td>\n",
       "      <td>17.73</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.01</td>\n",
       "      <td>18521</td>\n",
       "      <td>32915794</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-08-03 09:50:00</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.72</td>\n",
       "      <td>17.78</td>\n",
       "      <td>17.70</td>\n",
       "      <td>-0.28</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>24424</td>\n",
       "      <td>43323693</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-08-03 09:55:00</td>\n",
       "      <td>17.71</td>\n",
       "      <td>17.77</td>\n",
       "      <td>17.78</td>\n",
       "      <td>17.70</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.05</td>\n",
       "      <td>23197</td>\n",
       "      <td>41110937</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1435</th>\n",
       "      <td>2021-09-13 14:40:00</td>\n",
       "      <td>20.15</td>\n",
       "      <td>20.17</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.13</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.01</td>\n",
       "      <td>16093</td>\n",
       "      <td>32451916</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1436</th>\n",
       "      <td>2021-09-13 14:45:00</td>\n",
       "      <td>20.18</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.13</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.04</td>\n",
       "      <td>16191</td>\n",
       "      <td>32677812</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1437</th>\n",
       "      <td>2021-09-13 14:50:00</td>\n",
       "      <td>20.22</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.26</td>\n",
       "      <td>20.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>24419</td>\n",
       "      <td>49373556</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1438</th>\n",
       "      <td>2021-09-13 14:55:00</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.20</td>\n",
       "      <td>20.23</td>\n",
       "      <td>20.19</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>20769</td>\n",
       "      <td>41974013</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1439</th>\n",
       "      <td>2021-09-13 15:00:00</td>\n",
       "      <td>20.20</td>\n",
       "      <td>20.21</td>\n",
       "      <td>20.22</td>\n",
       "      <td>20.19</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.01</td>\n",
       "      <td>17593</td>\n",
       "      <td>35555623</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1440 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      时间     开盘     收盘     最高     最低   涨跌幅   涨跌额    成交量  \\\n",
       "0    2021-08-03 09:35:00  17.99  17.78  18.02  17.75 -1.28 -0.23  52807   \n",
       "1    2021-08-03 09:40:00  17.77  17.76  17.83  17.66 -0.11 -0.02  41508   \n",
       "2    2021-08-03 09:45:00  17.77  17.77  17.83  17.73  0.06  0.01  18521   \n",
       "3    2021-08-03 09:50:00  17.77  17.72  17.78  17.70 -0.28 -0.05  24424   \n",
       "4    2021-08-03 09:55:00  17.71  17.77  17.78  17.70  0.28  0.05  23197   \n",
       "...                  ...    ...    ...    ...    ...   ...   ...    ...   \n",
       "1435 2021-09-13 14:40:00  20.15  20.17  20.21  20.13  0.05  0.01  16093   \n",
       "1436 2021-09-13 14:45:00  20.18  20.21  20.21  20.13  0.20  0.04  16191   \n",
       "1437 2021-09-13 14:50:00  20.22  20.21  20.26  20.18  0.00  0.00  24419   \n",
       "1438 2021-09-13 14:55:00  20.21  20.20  20.23  20.19 -0.05 -0.01  20769   \n",
       "1439 2021-09-13 15:00:00  20.20  20.21  20.22  20.19  0.05  0.01  17593   \n",
       "\n",
       "           成交额    振幅   换手率  \n",
       "0     94339287  1.50  0.03  \n",
       "1     73683531  0.96  0.02  \n",
       "2     32915794  0.56  0.01  \n",
       "3     43323693  0.45  0.01  \n",
       "4     41110937  0.45  0.01  \n",
       "...        ...   ...   ...  \n",
       "1435  32451916  0.40  0.01  \n",
       "1436  32677812  0.40  0.01  \n",
       "1437  49373556  0.40  0.01  \n",
       "1438  41974013  0.20  0.01  \n",
       "1439  35555623  0.15  0.01  \n",
       "\n",
       "[1440 rows x 11 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-08-03\n",
      "2021-08-04\n",
      "2021-08-05\n",
      "2021-08-06\n",
      "2021-08-09\n",
      "2021-08-10\n",
      "2021-08-11\n",
      "2021-08-12\n",
      "2021-08-13\n",
      "2021-08-16\n",
      "2021-08-17\n",
      "2021-08-18\n",
      "2021-08-19\n",
      "2021-08-20\n",
      "2021-08-23\n",
      "2021-08-24\n",
      "2021-08-25\n",
      "2021-08-26\n",
      "2021-08-27\n",
      "2021-08-30\n",
      "2021-08-31\n",
      "2021-09-01\n",
      "2021-09-02\n",
      "2021-09-03\n",
      "2021-09-06\n",
      "2021-09-07\n",
      "2021-09-08\n",
      "2021-09-09\n",
      "2021-09-10\n",
      "2021-09-13\n"
     ]
    }
   ],
   "source": [
    "for dt in df2[~df2.时间.dt.date.duplicated(keep='first')]['时间'].dt.date:\n",
    "    print(dt)\n",
    "\n",
    "\n",
    "pd.date_range(start='2021-08-03 09:00:00', end='2021-08-03 15:00:00', freq='3T')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.date"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(dt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8-3 K线图\n",
    "\n",
    "<br>\n",
    "\n",
    "**<font color = '#5172F0'><font size=3.5>必读👇👇👇**</font>\n",
    "\n",
    "在 Python 中绘制k线图有很多方法，例如可以直接用 matplotlib 进行绘制。\n",
    "\n",
    "本习题将基于一个简单易上手的库 `mplfinance` 进行展开。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果未安装 mplfinance 需要先执行下面的代码进行安装！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#! pip install mplfinance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "安装后执行下面的代码导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mplfinance as mpf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用 mplfinance 有固定的格式!\n",
    "\n",
    "数据必须是`Pandas DataFrame`格式，必须包含开盘价、最高价、最低价和收盘价，需要使用`DatetimeIndex`作为索引\n",
    "\n",
    "为了方便大家练习，第一个K线图我将引导大家制作！\n",
    "\n",
    "首先就是将数据处理为它指定的形状👇"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 29 - 数据处理｜选择列\n",
    "\n",
    "<br>\n",
    "\n",
    "筛选 `df1` 中`'日期','开盘','最高','最低','收盘','成交量'`几列，并命名为新数据框 `df_new`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new = df1[['日期','开盘','最高','最低','收盘','成交量']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 30 - 数据处理｜修改列名\n",
    "\n",
    "<br>\n",
    "\n",
    "将 df_new 的列名修改为 `'Date','Open','High','Low','Close','Volume'`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new.rename(\n",
    "    columns= {'日期': 'Date',\n",
    "     '开盘': 'Open', \n",
    "     '最高': 'High',\n",
    "     '最低': 'Low',\n",
    "     '收盘': 'Close',\n",
    "     '成交量': 'Volume'},\n",
    "    inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-01-03</td>\n",
       "      <td>8.27</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.25</td>\n",
       "      <td>8.32</td>\n",
       "      <td>459840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.30</td>\n",
       "      <td>8.32</td>\n",
       "      <td>449330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-01-05</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.34</td>\n",
       "      <td>8.31</td>\n",
       "      <td>8.33</td>\n",
       "      <td>344373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-01-06</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>8.29</td>\n",
       "      <td>358154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-01-09</td>\n",
       "      <td>8.29</td>\n",
       "      <td>8.33</td>\n",
       "      <td>8.27</td>\n",
       "      <td>8.31</td>\n",
       "      <td>361082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1141</th>\n",
       "      <td>2021-09-08</td>\n",
       "      <td>19.24</td>\n",
       "      <td>19.55</td>\n",
       "      <td>19.10</td>\n",
       "      <td>19.23</td>\n",
       "      <td>1026201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1142</th>\n",
       "      <td>2021-09-09</td>\n",
       "      <td>19.11</td>\n",
       "      <td>19.15</td>\n",
       "      <td>18.80</td>\n",
       "      <td>19.00</td>\n",
       "      <td>739506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1143</th>\n",
       "      <td>2021-09-10</td>\n",
       "      <td>18.89</td>\n",
       "      <td>20.77</td>\n",
       "      <td>18.84</td>\n",
       "      <td>20.57</td>\n",
       "      <td>2314945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>2021-09-13</td>\n",
       "      <td>20.36</td>\n",
       "      <td>20.51</td>\n",
       "      <td>19.81</td>\n",
       "      <td>20.21</td>\n",
       "      <td>1297228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1145</th>\n",
       "      <td>2021-09-14</td>\n",
       "      <td>20.18</td>\n",
       "      <td>20.27</td>\n",
       "      <td>19.27</td>\n",
       "      <td>19.37</td>\n",
       "      <td>1158173</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1146 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date   Open   High    Low  Close   Volume\n",
       "0    2017-01-03   8.27   8.34   8.25   8.32   459840\n",
       "1    2017-01-04   8.31   8.34   8.30   8.32   449330\n",
       "2    2017-01-05   8.33   8.34   8.31   8.33   344373\n",
       "3    2017-01-06   8.33   8.33   8.27   8.29   358154\n",
       "4    2017-01-09   8.29   8.33   8.27   8.31   361082\n",
       "...         ...    ...    ...    ...    ...      ...\n",
       "1141 2021-09-08  19.24  19.55  19.10  19.23  1026201\n",
       "1142 2021-09-09  19.11  19.15  18.80  19.00   739506\n",
       "1143 2021-09-10  18.89  20.77  18.84  20.57  2314945\n",
       "1144 2021-09-13  20.36  20.51  19.81  20.21  1297228\n",
       "1145 2021-09-14  20.18  20.27  19.27  19.37  1158173\n",
       "\n",
       "[1146 rows x 6 columns]"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 31 - 数据处理｜修改索引\n",
    "\n",
    "<br>\n",
    "\n",
    "将 df_new 的索引列修改为 Date 列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new.set_index('Date', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 32 - 制作K线图｜日线\n",
    "\n",
    "根据 df_new 绘制日线级K线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x575 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df_new, type='line')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 33 - 制作K线图｜添加移动均线"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在上一题的基础上，添加5日、10日、15日移动均线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x575 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df_new, type='line', mav = (5,10, 15),volume=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x575 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 34 - 制作K线图｜添加成交量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在上一题的基础上，添加成交量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x575 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df_new, type='line', mav = (5,10, 15),volume=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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HsGPHDu677z42bdrEo48+yqpVq/j+97/PSSedxO9//3vC4TB/+ctfmDt3Li+//DJZWVmd3reuro66ujoWLFjApEmT0s55vd6efzAhhBBCdKmiOUJRhq31dVwpqogziFRQt/vWhyWahff1wD5/Tjie7FDWB6CMGGY08nYLjTzPWPHNibXO3ZqNBkqyHRS4U20tckc4KfMnTAy9ynhysBgGY8KMSVXCSzeTvez/KJtxAXSyznKg61dBpK7rPPTQQ8yZM4cbbrgBgBkzZuD1ern++utZvXo1f/vb3xg+fDj33XcfBkOqR6dMmcKsWbNYunQp8+bN6/Tea9euBeDUU0+luLi4dx5ICCGEEHul0hehyNMWRFYSx4aBTFIBn9NiSpvOHoqVOhIEVBJXJ7vLdCXSxZrIL1SYw7T0kVBjpYbjPRO1vwulXTt9WCa5TivW5EpuPfwiykMj2O5Yx+8UHKe5mGFwgUriifyLnBN/RXbjFuqzfrbXbRwo+tWayEAgwDnnnMNZZ52VdrykpASAnTt3MnHiRC699NLWABIgLy8Pl8tFaWlpl/dev349Ho9HAkghhBCiH6pojlDYbiSyXMUYhLk1qHNajK2JNQAOzUAeJrbvY3JNak1kx/BnpQoxRUvfbcbznIXQ8QmShekLGy+fPpTzx22jMHwuq3wXceeXd5E0FDBcs7Jt1xS7ZsSX/S1id/8HD4txxx/bp3YOBP1qJNLj8XDrrbd2OP7aa68BMGrUKL7xjW90OP/RRx/R3NzM6NGju7z3unXr8Hg8XHPNNXz44Yfous6sWbNYsGABeXl5e2yXpvXOKPSuzzgIR7wPKtJPA4P008Ag/TQw9EY/VfoiFGfYWj+jjDiDNEvra6cllVjTvg271kUertn36jOUUqnsbIsx7T5VKk4NCQ7X7G3H9dT+2PW3hdKuNeoV2JNvkxNZQJ3tDrYlTqchVIGmwXDNwit6c9r14aEjiD/7T3IuOYuYcSox4+H7/sXZS93RT/vy3n4VRHZm5cqVPPzww5xyyimMGjWqw/mGhgZuvfVWCgoKOPfcc7u8z7p166iuruaCCy7gsssuY8uWLfzpT3/i4osvZunSpTgcXe91WVLkxel0dsfj7JWSIm+vfZbYf9JPA4P008Ag/TQw9FQ/6bqiyhflqNF5lOSkft82VDdwnCOD4e7UZxZmObBYzQwvbmvDVF+czyMBhuftXbvCsSQKGDc0C0+7epQrmms4KupmfF67vIoPgDAUXOgCM5D0Qdk5EF4OtslQtIg8zwWM1+sJfLyT4cVecpMuFpXVY8uzU2RuyfKeDSyYBdddwiD1JBQ+tJ9fpb13IP0UDHYstN6Vfh1Efvrpp1x55ZUMGTKE22+/vcP56upq5s+fT319PY899tgeA7077rgDq9XK+PHjAZg2bRojR45k7ty5vPjii8ydO7fL926raMLhiB/4A30NTUt1/LaKJrphb3nRQ6SfBgbpp4FB+mlg6Ol+qgtEiSd1YqEoW8tTv283JkKcGney1dcEQCKepLw+yNbyptb3eVSSNckgW8oa09YydqUxlJr6rq4NUGdou/71RD0nGdxp985+xI52BtTVhNFUgMLQt0lqXmpc21GaC/yAv4lIKEqNP9L63gmajX9WVTHbkAGAYbjG0HUeKmrnUmg+gx3Jn6M0z/5/sfagO/opFNr7nYD6bRC5bNkybr75ZkpKSli8eHGHDOoNGzbwgx/8gFAoxKJFi5g4ceIe7zd58uQOx6ZOnYrb7Wb9+vV7fK9S9OoPt97+PLF/pJ8GBumngUH6aWDoqX4qb46Q67JiMhhQCvwqSTNJipS5tcyi02KiyhdJ+/zByoKfJI3hJEUrbJiqDBgCGqGT4sSHd9zNJhTTsRgNGDSt9T4NKkGpijJVD2HWt6Wmm3VwLjNTs9CHPb6MzNgf0LUsqm2Po7Cl1X7MtFuIxHVC0dQ0+VE4WaY38w0tFUQmMxSxMTrGjyYTO2Ecrvjz+Mzf7/4vYjsH0k/78r5+lVizy6JFi7jhhhuYNGkSTz/9dIcajh9++CHf+973UErx1FNPMWXKlD3ez+fz8fzzz7N58+a040op4vE4mZmZ3f4MQgghhNg7lc3RtPI+5cTJxYRNawtTdi/xA2CNGLhmYRGHzcgk9xY7rlfM2JebGHSam6JvuTBWpI9OhjupERmJL+KlyAmMCc+kOPwN8sMX4V6zEsNFvyFv0gRyorcQNJ1Dle1JlGZjd06LEbNBozGcGuU8QrNTR4LydoXQI9MT2FYY8ZkvxxN/7KD5i6nfBZHPPvss99xzD2eccQaLFy/G7XannV+7di1XXXUVRUVFLFmyZI/JNLuYzWZ+/etf89BD6esQ3nzzTSKRCNOnT+/WZxBCCCHE3qvwhdPK+5SpGMWkr81rn539ZXkzz68qJ/s3do56y82/7quhdLmfyqeCVD0WZMenPuIlSQqucKbtX717eZ+M2J+ZEruTN6wPsM25kx3OVSS1HHKHnE7yuM+otd1LqWMlTZbrUV0k72ia1rL1YWoa3qoZmKTZWaHapoXD0xPYV5gImM7FpO/Apq844K9Zf9CvprNra2u54447KC4u5qKLLmqt7bjLkCFDuOWWW0gkElxzzTVUVlZSWVnZej4rK4shQ4YAsGrVqtbXdrud+fPn8+CDD5Kdnc3xxx/Phg0buP/++5k1axYzZszo1ecUQgghRJvK5ggl2W15DeUtmdntudrVifx4RyOxt8D9ooX/vlbJu0V+prUL8nSvovaOMMUXuMj5pZ3au8JA+r7Z3ti9ZMQe4DrrQ8wxzQLNjE42deZ7cR7/MLULo4RNe7fTzK6tD3c5SnPyrN7IecqLpmlEpiew/NCB5nfQZLuOnOiNlNnfgk726R5I+lUQ+e677xKJRCgvL+fCCy/scP72229vDSx/9KMfdTh/3nnnceeddwIwZ86ctNfXXnstOTk5PPPMMzz99NN4vV7mzJnDdddd14NPJIQQQoivU9EcZebw7NbXZSrGBEN68omj3UhkbVWMXz53GLULQuQOMrFDj6GUSk+usUDVX4MMPsNNYHac8PEJwnEdm9mIO/4Y3th9fGB/gQpy00Y9PU9a0K0GwtP3fqvCTIeZhlDb9PV47DRTRxUJCjGTzFXEh+pYPzPRNOs6XImXyIzfS6Plp/v6pepX+lUQef7553P++ed/7TV7Y8OGDWmvDQYDF154YafBqRBCCCH6TqUvtW82pPIVqohT2Ml0djCaCuyOfDWbSleEyFlRirARR1FDgvzd3pMsUPjPi+H8j7kliExyQtFycqJ3UmF/no+0YUwg2Rp8Gis0su+yU7k4uE8RUvvpbACzpjEGG2tUmEIt1abo5CS2L4yETzRTY/0zxeEzCBpnEzNO2OevV3/R79ZECiGEEOLQEYolaArHWxNrQuiEUeTsFsU5LCaCsSS6Usz4PIel08rY0RzCpGkMwcJ21fnONcHTEjhfN4MClazn6nH3UGP7E1HjUaxRESbQMg2uIPdnDgJnx4jM2PtRSEhlaDeG00sBTtBsrFbh1teRSQmsq1LPFDMejs/8fbJiv9unz+lvJIgUQgghRJ+p9EVxW024rKkAq54kbgxYtfQQxWk1EknoNK5NMLrWRdOJUXY0pIK0Es3Stt3gbiLTEmgRsHxl5JiMP7I1cDhB4zfxqyQ7iTFes0ECcn5hx7raSP3PIp3eZ0+ydpvOBjhMs7ORKPGWTOzopCS2VcbW8kBN5muxJ9/Gkly7++0GDAkihRBCCNFnKpsjaeV9akmQ3clcssvScuxFjc9GNlI4xMaOhhAAw/YwEokZQrMSZHz5GePd/+afO28CTWOtijAYCxl+I4UXO7GtMFH+oh/du+/ldwZnOthSm16kOx8TLgxsIhWURscnMfg1TGWp0CtpyMNvvhBv/N59/rz+QoJIIYQQQvSZiuYIhR5r6+t6lSBH6xhEmo0aJoNG/ht2vjiqiaGZjtYgskSzsoNY66hfeyZ9O8arf4T79LP5b9WVRNQgAD4nxETNTuYf7Gg6lC/1kxi0f/UbDyt0Ux+MUdHcNoqpaRqHaXbWqJZj1lQgaf28rcRQk/lanImXMOnb9+tz+5oEkUIIIYToM5W+CIUZbeV56kh0WA8JqaBsRNhJ0TY75ceFGJplp7QxjK4UeS2jflt2m9I26tUMCp2EPqgBLn2HFasvwW42ElU6X6kwM8tdeP5uofa2MKrrnZO/ls1sZHyBm8/LmtKOT9BSyTW7tE5pt0gYhhA0nYs3/uf9//A+JEGkEEIIIfpMxW7T2XWq8+lsgNkbC/l4aAM5g80UZdhJ6IoafxRN0xin2Viv2q1nVIqc6I2ETCdT7fkb4ayJzL93BNPfzWZ9MEomRsYtdBM4O0Z8dMctEvfV5MFePi9rTjs2DjvlxAmoVGmiyOS25JpdmsxX444/i0Glv3cgkCBSCCGEEH2mwrfbdDadT2eTgO98NJhnDiulOMOO0aAx2GtvndIei4117YJIZ2IpNn0Fdda7AKj6S5C3j6lh2qtZzJ6Wz63XD8X1soXGn+x7Ik1npgzK4POyZlS7KXWHZsCDkVpS2d7RSUmsXxmhXSJ3zDiRqGEi7vjT3dKO3iRBpBBCCCH6RFJXVPujFLVMZyulupzOdi0zgwH+PaaSQd7U9UOz7K0Z2uM0G9uJElE6BlVHbvSn1Fn/gK5lpe7thpdnVPD8X0v5yZLNeLwGGm6K7Pc6yN2NyXMRTSTZVh9KO56NkfqWIDI+TEdZFZaNxrRrmi0/ICP+MKj0vcH7OwkihRBCCNEnagJRNCDHmdr+L4BOFEU26UEWCrwP2lh2WgVmi4EcV+r6oVkOdjSmgrZMzUQuJjYSITf6UwKGYwmazk67TTiepNENdRPiRH4TpfmKzssC7Q+T0cDEotRoZF0gyvIt9QDkaCbqVEvdSQNEpiWxf5AeJAeNs9GI4Ui+1m3t6Q0SRAohhBCiT1Q2RyjwWDEaUjvG1JPAgwHLbjUi7e+YMNZqfHZCA0UZNgwtO8wMaZehDTBWs6HHX8SWeI/Z//gur62vSbtPOJ6k3JlkiuZI3yKxm0wZnMFzn5dz8ZMr+eV/1hNL6mRjah2JBAidHMf5xm4jrZqJZvN8MuKLur1NPUmCSCGEEEL0iVR5n3ZJNV1MZWc8ZaX50ihWp7F1KhtgkNdGebuyOpNVM6fEfsE/mm8mMayYP/9vK5W+tvPhuE6lNck4zUZPOGFkDjNLsnjgOxMxGzTqAjFyMFHXbpo6eEoc28cmDE3pQazfNBd7cjkmvbRH2tYTJIgUQgghRJ+o9KVnZndaIzIBtg9NhE6LM3WIlxNH5bSeKsqw4Ysk8EcSoKKcHL2Sj40zech5ItnTPUw4NZ87X99IUm/ZNcas8Bt1RmKlJ+S6rPxo1giG5zjJcVmpDUTJ1tJHIpOFiti4JI63058zacgnaDwVd/zvPdK2niBBpBBCCCH6RIfyPp3sVmP90oiyKmJjdGaUZHHCyLYg0mExkekwU9EcIjf6U4zoJP2/p/q5Wm4w5OMrMlJn1/mktDH1hlwTg3Rzhy0Ve0Key0JNINo6nd0+azt4ahzHG+YO7/GbL8adeHrAJNhIECmEEEKIPpEq79O+RmSyw3S2/X0T4ZmJLiOW4wftYJLpAhzJN6iyPcm/1/o4cXQOQy02vmXw4joug+2+EImkjrnQyqgeGoXcXa7bSq0/RjZGoigCtNWiDJ6SwPGOGXbbqTFkPBmNJPbku73SxgMlQaQQQgghep1SqsO+2fUkyN5tOtux3Ez42MTubwelkxm9nbum/4jN/iModXxEWOXz5sZavjE+H4ATNTeOhMaXnjiRhI6tyMo4Q8+sh9xdbst0tkUz4MGQNqUdOyyJcijsH3dMsPGbvocn/nivtPFASRAphBBCiF7niyQIxpIUtIxEdlYjUguB7TMj4WPjae/VVJj86DxciRd4ePuzPL15Pkpzs7UuiNloYEyeCwCDpjGtzkJNocaaZBiTy8jYXgoid01nA6nkmnZBJBoET4/jXNZxSrvZfDmO5OtYkmt6pZ0HQoJIIYQQQvS6Sl+ETIcZuzlVE9KHThyVtibS9rGJeLHeoSB4dvRnGPUKyh2vY7OPa83QXl8dYGy+K618z1ibg+S2CE+bG4nXxbEZdqtB2UNSI5Gp+epszUS9Sh9N9Z8Xw/VKxyntpGEQPvM8smK/6ZV2HggJIoUQQgjR66p80bT1kDXEycSIuV0A6Fhu6jCVbU1+ijvxD2psD6NrWRRl2KhoTu1as77az9h8d9r1RRk2qj5oIgmo6vQRzZ6U57ZS40+NRGZjoo70ZJnolCS6R+F4p2NJo0bLj7ElP8KW/F+vtHV/SRAphBBCiF5X7Y+Q725LcqlRCfJIn961v7vbekiVJDd6A42Wn5AwDAFSQWJDKE44lkyNRLZMZe+S57KSjOgcV2bBsLl79sneG3kuK/5ognA8lSy0+0gkGvjPi+NeaunwXl3LoslyPdnRX4Pqnm0Ze4IEkUIIIYToddX+aFoQWUuCvHZJNaYdBixbDYROaBs99CQeQ1NhmszXtB2zmXFbTWyqDVDWFGZMfnoQaTRoFLitNJaHseu9F/a4rEZsZkNrrci0NZEtAufFcLxuRvN3fH+z+QrM+gas+speaO3+kSBSCCGEEL2uyhelwNNuJJI4ee3WQzpfMxM6NoFqiQk1FSYzdg/11l+Dlj56V5Rh4+1NdRRl2PDYOiarFHpsbK0LYjP3znpIAE3TyHNZqfHHOq0VCRAfoRMbk8T1746jkfUhM6+VnY4n/khvNXmfSRAphBBCiF5X44+S5263JlIlyNPaAkDnf80ET283Chl/jIRWRMh4Rod7FWXYeHdzHWN3G4Vsf35LXbA1iae37Crzs6tWZLBdrchdAufGcb3cMfCt9EX4wycn4kosxaAae6O5+0yCSCGEEEL0KqVUh+nsGhLktoxEGuo1bJ8ZCZ2SCiI1FcIbv5dGy/+BpnW4X3GGjeZIgjG7JdXsUthy3m7u3bAn12WhNhDF2lIrsqazKe3ZMewfmDA0pj9XKJZkc/MQfPok3PFneqvJ+0SCSCGEEEL0Kn80QSiebA0iAypJCL11Otv5hpnIpCTJvNT0b2oUcjAh42md3q8oww7QIamm9XxLFnhvj0TmuayttSKLMFOhOmaHJ4sU0cOTOP+bPhoZiqeyudeF5uKJP9ovE2z6XRCplOK5557j7LPPZvLkyZx88sncfvvtBAKB1mu2bt3KFVdcwdSpU5k+fTo/+9nP8Pl8X3vvL7/8kosuuojJkyczc+ZM7rrrLmKx2Ne+TwghhBDdp9ofJcNmag3qakiQgbF1T2vnf82Edk1lK4Un/jhNlms7HYUEKPbaMGgwMtfZ6fnCjD4KIlu2PgQYpFko270oZIvA7DjOf6cHkYFoatTy84YT8JvndPnsfaljcaI+tmjRIhYuXMi8efM45phj2LFjB/fddx+bNm3i0Ucfxe/3c9lll5GXl8fdd99NfX0999xzD1VVVTzySNeLT0tLS7n88suZPHky9957L1u2bGHhwoX4/X5++9vf9uITCiGEEIe2al+0dacagFqVaEuqiab2y67/War2o0VfjUlVdjkKCTAu382d50zAauo8SNw1EtmbiTWQWhO5ayRyEBZWqGCn1wW/ESP7LhuGJg3dmxpxDMVSI5FVfkWT5cbeafA+6ldBpK7rPPTQQ8yZM4cbbrgBgBkzZuD1ern++utZvXo1H3zwAT6fjxdffJGsrCwA8vPzueKKK/j000+ZNm1ap/detGgRTqeTBx98EIvFwgknnIDNZuO2227jqquuori4uNeeUwghhDiUVfuj5Ll3y8xuKe9j/9REMksRH5FKQnEl/knQ9A2UZu/yfkaDxtTB3i7P2y3Glt1xencCNs+d2vpQKcUgzczzKoZSKm1HHYDEIEV0fBLna2b8F6RGK3cFkbuC0P6oX01nBwIBzjnnHM4666y04yUlJQDs3LmT5cuXM3Xq1NYAEuC4447D6XTy3nvvdXnv5cuXM2vWLCyWtjT6M844A13XWb58eTc/iRBCCCG60qHQOAlyWwqN2983ET4uDhqgFK7ECwRM3z7gzyz02PokOzsS1wnGkhRiJoiOr5MMbYDg7DjO/7RNaQdjCTw2U+uuN/1RvxqJ9Hg83HrrrR2Ov/baawCMGjWKLVu28I1vfCPtvMFgYNCgQWzfvr3T+0YiEcrLy1uD0V2ysrJwuVxdvm8XTeudpQi7PqMfLnsQ7Ug/DQzSTwOD9NPA0N39VOWPMnlQRuv9alWCiQY7mgaO9000/SCKpoFV/xSDChA2zTrgz75o2iAGZdp79d+aw2LEbNTwRxMU2Wzk6SbKieHtZFQ1NCtO5n02tARgTiXWDM92UBOI7nWbu6Of9uW9/SqI7MzKlSt5+OGHOeWUUxg1ahQ+nw+ns+PCWafTmZZ8096upBuXq2PW1p7et0tJkbfTz+wpJUXeXvsssf+knwYG6aeBQfppYOiufmqKJDhiWDbDi1P3q99ZzuS8TIYHHLAG8r9jglyg+hWwfIfhBbkH/Jm7Pqu3ZdjNeDPsDC/OYGxtE2GrkeGeTtpSBDhgeIUXZoBmNDBpaBZ//7iUkqKMDlPge3Ig/RQMdqxZ2ZV+HUR++umnXHnllQwZMoTbb7+99XhnX8jO1hi0P9eVPb1vl20VTTgcPb9pu6alOn5bRVN/zOQXLaSfBgbpp4FB+mlg6O5+2tkQgliCreVNhJVOo54gXhuh+hWFd5yV8lgAypIMCT5Hje1hIuVNB/6hfcRmMrCxrAkHikwdvgj7mOa38M6mOvLcVsYXtNW2zJ3hIP5CkqahUWqaI4zOdhBL6KzcXEumo+OuNrvrjn4KhTpP/ulMvw0ily1bxs0330xJSQmLFy/G6/UCqdHEzkYOQ6EQBQUFnd7L7U51UDDY8QsTCoVaz3dFqd4tz9Tbnyf2j/TTwCD9NDBIPw0M3dFPoVgCXyRBntuKUlCh4ngwYMeA/T0ToeMSKAW2xAcAhA0zYAD/23BaTASiqWcqxsJKFUYpeH19DVazkVtPH9N6bfjYBO4lFhqvjxKMJsiwmclymKn2RfHavz6I3OVA+mlf3tevEmt2WbRoETfccAOTJk3i6aefJje3bRi7pKSE0tLStOt1XaesrIyRI0d2ej+Hw0F+fj47duxIO97Q0EAgEOjyfUIIIYToXtX+KE6LEZc1NY61U8UYggUU2N83Ez4uVR/RlfgnAdO5oPVuMkx3c1qMBFsyrQdhpoIYSaXwRxN8sqORRLIt0SZ8bBzb50a0IARjSRwWE3luKzWB/lnTut8Fkc8++yz33HMPZ5xxBosXL+4wSjhz5kw++eQTGhoaWo+9//77BINBZs6c2eV9Z86cyTvvvJNWXPzVV1/FaDRy9NFHd/+DCCGEEKKDKl/6doc7iDFEs2BZb8DYqBE5MgEqhivxUrdkZfc1p8VEsKVweDYmjGhUE8cXSRCMJfmqsm2zlESxIj5Ix/6xiVAsictqTO16008ztPtVEFlbW8sdd9xBcXExF110EWvXrmXVqlWt/zU0NDB37lysViuXX345r7/+Ov/4xz+46aabOP7445k8eXLrvVatWpU2Yjl//nzq6+uZP38+b7/9No8++ih33HEHc+bMobCwsC8eVwghhDjkbK0PMiTL0fq6VKWCSNfLFoKnxlE2cCTfQddcRA2d134eSJzWtpFIg6YxFAtrVQR/NMGYPBcfbmtMuz58bAL7+6kg0mExkue2Ui1B5Nd79913W8vxXHjhhcyZMyftv3feeYesrCyeeOIJMjMzufHGG1m4cCFnnHEGCxcuTLvXnDlzePDBB1tfjxgxgkceeYRIJMJ1113Ho48+ymWXXcYtt9zS248phBBCHDRiyc7rHnblk9ImprUUBk8qRTlxBisLzmVmArNTSayp2pDfOihqP6WmsxOtr081eHhV+QjEE5w2No+PtjekJQCHTozjWmphcIUDh9nYMp3dP4PIfpVYc/7553P++ed/7XWjR4/mscce2+M1GzZs6HBs2rRpLFmyZH+bJ4QQQoh26oMxLn96JU9ePJUM+9eXhgnGEqyt8nPLaaMBqCKOESheb8VUbSB8QhxUFGfi35TbX+7h1vcOp8VEfbBtKd0k7LykDNjHOTl+RDYPfbCdnU1hhmSmRmdDpySovTTMP/58DPUnhsgfbOVNGYkUQgghxMFkS12QYCzJu5vr9ur6z8uaGeS1ketKrYnc0ZJU43mlZSrbDvbkcpKal5hhYk82vdekprPbRiI1TeOkqAvvZDcOu5Gpg718uK0tzwMNts8L8MtT1zD0Bx5GVLn67UikBJFCCCGE2C/bG0KYjRpvbty7IPLT0iamDc5sfV1KKohsP5XtTCwjaPrGQTGVDS2JNS1rIncpDBtQgSTLCTK+wM3m2vQShKFYktenVNF4dYRpP8tG9ymSev+rcyRBpBBCCCH2y46GELPHF7Ch2k+1L/K1139a2sSRQ7ytr0tVjMM3OjBV7ZrK1nEm/0PQOLsHW927nBYjgWh6EOmPJGBLlP+pAEUZNip2+9oFYwkcFhNbfxhEL1K8vuV4jIb+F1RLECmEEEKI/bK9IcTEYg9Th3h5a9OeRyPLm8LUBaNMLPYAqR3jdhJjwlsuQselprKt+udoKkLEeExvNL9XOCymtOlsgEA0ibNGp4YEpiwTFc27B5FJnAVWfqqV88jCSmyaoV8WXJcgUgghhBD7TCnFjoYQQ7McnDw6lzc31u7x+s92NjGxKAOrKVU8vI4EcRSFb1sJnZwKspyJZYRMp4PWr/J+D4irXYmfXXyROB6ziSmagx3uJL5IgkC0LdAMxZKYB1kYi41PcoPctHAbqh9GkRJECiGEEGKf1fijxJOKQRk2jinJoqwpTEVzuMvrSxvDjMhxtr7epKKMa7Zj/8xEaFbLesjkfwiaDp6pbOhY4gfAH03gtpqYoTn5zBAmw54+GhmMJSDPzNGakwWGAk4zeHq72XtFgkghhBBC7LPtDSEGee2YjAbsZiMlWQ621IW6vL4uECPX1bb/82rCnL7cS2xMkmShwpxch0kvJWQ8sTea32ucFhORuJ6WGOOPJPDYTIzBhhHIH+Wist26yOZ4grjXwDjNhlnTmKQ50PphopEEkUIIIYTYZ9sbQgzLsre+Hp7jZEtdsMvra4PR1tI+ulKsUREmv+UmdGJqlM6deJ6g6UyU5urZhvcypzU1fd9+NNIfSY1EGjSNozUnlpH2tJHIamsScxSy+/m0vgSRQgghhNhn2xvCDG23feHwHCdb67sOItuPRG4jhkGHvHeshE6Kg1K4Es8TMH39hiMDjcVowGTQ0tZF+qMJ3LZUgHi85iaUa2RHuC2IrHXqeH0dbtXvSBAphBBCiH22oyHEsPZBZLaDrV1MZyd1RUMoRo4zFUSuVmHOWJWJloTIlCRW/WMMKkDIeHKvtL03aZqWWhfZLnFm15pIgBzNREHYwM7Mtu0jmz2QE+z/IVr/b6EQQggh+hW9JTN7WHb7INJJpS/SOm27RG9kpUoFlQ2h1LZ/mY5UEPmVCnP6M5kEzo2DMTWVHTB9E7Sv3zpxIHJa0wuO+yNtI5EAR8UdhAebSCpFQCWJujQKo8a+aOo+6d+T7UIIIYTod6r9URK6ojijbU1kht1MjtPC9voQqsDMe8rPu8pPhiGfaCBGttOC0aDhV0maGpOUvOSg7FU/qDiu+FKq7E/24RP1rN0ztH3tRiIBjrG5+GesiRf0RjYRxdikk2Xs/yGajEQKIYQQYp9U+SLku60ddlEZnuNkU0OAZ/QGvq1lcoGWyZ/1GjZFw+Q4rSSV4iXVzNzncokcmSA+Usee/B9KsxIxTO+jp+l5TouJYLT9SGQcT7uRyGyHhdDaIO/rAaZoDkzv+XFaJIgUQgghxEGmKRwn09Fx6nl4toNPrBGsGDhBc3GCwc1JmptlRWGMRzlZqNewKRHh7KdzaL40NcXtTP67Za/sgzckcbYrOJ5I6oTjOm5b29dP0zQ8pUm+V+7kDEMGoXASh6X/T2cfvD0mhBBCiB7RHE6QYe8YRHqLbVQPNnCRIQtDS13Dsw1eJnyhYzMbyNdM/O61wRiTGqFTUlnZjsS/CRq/0duP0Kuc7bY+9Lck2Lh2CxKLMmxUNUeBlm0PJYgUQgghxMGmMRzDu1sQ2aySfFAUx/eJj2FY0s7562NMrbJwaXMOhb900vDTMJjAon+FQfkIG2f2ZvN7ndNiJNAyne2PJnCYjZiM6SFYkcdGRUvB8VAsIUGkEEIIIQ4+zeFEWhCplOJvei0TDDZ8Xwao8kXTrq8NxMhxWcj5lZ3opCSBb7Vsc5j4NyHTqaClB50Hm9R0dstI5G6Z2bsMzXKwoTpAUleE4zoOWRMphBBCiINNUyieFkSuIUI1CS4xZHPUsEweeH9r2jZ/9cEok5dn4njLRO0dIWjJx3Em/03oIJ/Khl3T2amRSF8XQeSxw7PZXBdkfbUfQNZECiGEEOLg0xRJDyL/q/s4WXNj0Qz89ORRVPuj3P/eVpRS6Lri7LeKmXR3FtX3h0jmpYJLk74Ti76ekOmUvnqMXtO+2HggmsBj7RhEum0mZo3MYcnn5Rg0sJn6f4jW/1sohBBCiH6l/UhkqYqxlSjHt+x57bKauOPs8Xy4rYH3VtaT+WMb319Rws7n/IRntdVKdCVeIGQ8AV3L6JNn6E2udsXGfdHORyIBzjqsgP9tbcBpMaFpWqfX9CcSRAohhBBinzSF463Z2f9VPo7VXLi0tunXXJeVW2xjOOvSQagqjUuuWIF+RNv0dmqv7OcImOb0dtP7RPti4/5IAlcnI5EA4/JdlGQ7BsRUNkgQKYQQQoh9kEjq+KMJMu1mGlSCz1SQUzR3+kUxOPueQTx2zHbu+OFaVJFKO23RV2PWy1L1IQ8B7YuN+yOdT2dDql7k2YcVpBUi788kiBRCCCFEms/LmqhsKTezO18kNaLmsZl4U/mZpDnI3W3Pa9cyM3qGwj8vxkurq8h1WdPOuxNLCJjORmkODgVp2dnReJfT2QCzJxRw2+xxvdW0AyJBpBBCCCHSPLailKc+2dnpucZwHLfVRNwA7yk/p2me9AsUZCy20nxZlHMmFqABOa52JXxUElfi+UNmKhtSI5HhuE5SV/ijybTdanZnNGgdgu7+SoJIIYQQQqSpaI7w3uZ6IvFkh3PN4VRSzfsqwCAsDNfSAx7r50bM24z4z4+R5bDwzYmFjMl1tZ63J98BDISNx/bwU/QfuwqHb28Isb7aT6FnYASJX6fbJt3r6uqoqamhuLiYjIzuybSqrKzk7LPP5oEHHmD69NTG7GPGjOny+qOOOoonn3yyy/MzZ86krq6uw/Hly5eTm5t74A0WQgghBrhwPElDKE6B28ryrfWcMiYv7XxTOE6G08wbysdcQ1aH92cstuL/bhTlTL2+6tiS9PPxv+IzX3JQ75W9O6vJgNGg8fNl6zhpVC6TB3n7uknd4oCCyHg8zuLFi1myZAmVlZUA/PnPfyYajfLSSy9xyy23MHjw4P26d3l5OfPmzcPv96cdf+655zpc+9prr7F48WK++93vdnm/uro66urqWLBgAZMmTUo75/V696uNQgghxMGmsjmCy2rkmxMLeW19badBpHWIFRMaE7GnnTNWajj/a2bnW+m/u3exJNdiT35Aje2vPdb+/kjTNJwWI4O8Nq4+ruTr3zBA7HcQGY1Gufzyy/n8889RKpV1taum0caNG3nnnXdYu3Ytzz33HIWFhXt9X13XWbp0KXfffXen53cPACsqKliyZAkXXnghs2fP7vK+a9euBeDUU0+luLh4r9sjhBBCHEoqfBGKPDZOGZ3L4g93UBuIkudum35tCseJjjRzsubCsFstw4wnrYRmxUkM0Tu9d0b8Afym76Jr2T36DP3R/50yigkFHoyG/l//cW/t91jyww8/zMqVKwE4+eST086FQiEAamtr+ctf/rJP992wYQO/+tWvOPfcc7sMJNu78847sdls/OQnP9njdevXr8fj8UgAKYQQQuxBRXOEogwbWU4LUwd7eWxFadoWhjUqTijDwAzNlfY+LQKepy00fz/W6X2NeiWuxAs0W67u0fb3V0cPy9pjVvZAtN9Ps2zZMjRN47vf/S6//OUvGTt2bOu5n/3sZ4TDYf7xj3/wv//9b5/uW1hYyOuvv05BQQErVqzY47UrV67kv//9L3fccQcul2uP165btw6Px8M111zDhx9+iK7rzJo1iwULFpCXl7fH92pa6r+etuszBkCR+kOa9NPAIP00MEg/9T+VvghFGXY0Da49YTi3LlvHTS+uZtHlR6FpUJUDhX4Dnuz0gtjuf1lI5CuiMxKd9mdm/I+ETaeSMI5AurtndMf30768d7+DyPLycgCOPPLITs8fffTR/OMf/6C2tnaf7rsv6xMXL15McXEx55xzztdeu27dOqqrq7ngggu47LLL2LJlC3/605+4+OKLWbp0KQ5H17WqSoq8OJ3OvW7XgSop8vbaZ4n9J/00MEg/DQzST/1HYyTBzNG5DC/2MrwYlo3M4SfPfcGCF77iwYunEAyYODPuZnixt+1NCngSuAGGd5Y0EvoAyp6FYV8w3NLJedGtDuT7KRjsuvzQ7vY7iHQ6nTQ1NbF169ZOz3/00UdAzyWtVFZW8tZbb3HzzTdjMn39Y9xxxx1YrVbGjx8PwLRp0xg5ciRz587lxRdfZO7cuV2+d1tFEw5HvNva3hVNS3X8toomlPr660XfkH4aGKSfBgbpp/5nS00As67YWt7UemzulCL+3zOrWFJajh7VyQuln7esNVC02c2OE5pR5en301SE4tDl+M0LaK7NApoQPaM7vp9CoeBeX7vfQeSMGTNYtmwZixcvxmJpKyL68ccf8/bbb/PPf/4TTdNaS/N0t9deew1N0/aYTNPe5MmTOxybOnUqbreb9evX7/G9StGrP9x6+/PE/pF+GhiknwYG6af+IZHUqfJFKPTY0vpjkNfOoEw7r4WaCW0K4R2Rn3be+S8LwdPi6DZSo5LtZEbvQcdNk+kHHc6JnnEg30/78r79Tqy5/vrrycjIIBKJsHDhwtbM7CeeeIJ//vOfKKWw2WxcfXXPLKB95513mDZtGjk5OV97rc/n4/nnn2fz5s1px5VSxONxMjMze6SNQgghxEBSE4hiNGjpO8y0OOGwPEptCRrWBfDa2015KnC9bCZwTseEGmtyBRnxv1Fj+zNoxg7nxcC230Hk4MGDeeyxxxg1ahRKqQ7/DR06lEcffZSSku6vh6SU4quvvmLKlCl7db3ZbObXv/41Dz30UNrxN998k0gk0mOjpUIIIcRAUtGcGoXcvXQPQM5YF7HaOEl/Ek+7bfusq4wYmjVCxyfSrtdUgPzIlTRYfk7cMHb324mDwAHlmo8bN46XXnqJL7/8kq+++gqfz4fT6WT8+PFMnTq1dXSyu1VUVOD3+xk5cmSX16xatYqsrCyGDBmC3W5n/vz5PPjgg2RnZ3P88cezYcMG7r//fmbNmsWMGTN6pJ1CCCHEQLIriOzMJmuMxLYIHpsprdah6yUzwTPjsNvgZXb058QNw2g2X9GTTRZ9qFsKFg0bNoyJEye2vl69enWPBZAA9fX1AHg8ni6vmTNnDueddx533nknANdeey05OTk888wzPP3003i9XubMmcN1113XY+0UQgghBpJdNSJ316gSrI6GmKjb2Ng+0VQH1ysWav4YSrvelvwAd+IFSh0fHFLbGx5qDiiIXLFiBb/61a844YQTuPnmm1uPX3zxxWRmZnLXXXd1WQJob0yfPp0NGzZ0OD5x4sROj7e3+3mDwcCFF17IhRdeuN/tEUIIIQ5mFb4Ik4ozOhz/VIWYZHNy7Egv76i2tY32D0ygQ/iYdlPZKkZu5Cc0WBaQNAzqjWaLPrLfQeRXX33F/PnzSSQSacW6y8rKCIfDhMNhvv/97/OPf/wjrRC5EEIIIfqnKl+UgnEdRyK/VGFOcWRzeJGJwwrbZgHdz1jwfyeWFk14439CaVaazf+vN5os+tB+jzH/9a9/JR6PYzAYOPzww1uPOxwOLrvsMkwmE4lEYp+3PRRCCCFE32gOx8m0pxebjiqdjSrCUTZ32nFDo4bzv2b8c9qysk36VjJj91JrvRe0g2uLP9HRfgeRu9Y9Xnnlldx4442tx7Oysrj55pv5wQ9+0JpFLYQQQnSX37+1iRU7Gvu6GQclXySBZ7f9nTcSJQsTxWZr2nH3UjPRSUniJXrqgFLkRm/EZ76QqLFjbWZx8NnvPxMaGhoAGDp0aKfnBw8eDEBdXd3+foQQQgiRJp7UeWtjHYmkYvpQqfHbnSLxJLGknla+B2C1CnOYZk+/WIH771aaroq0HnIlnseir6fK9lgvtFb0B/s9ErlrHeRrr73W6flXXnkFYK+KgQshhBB7Y121n4Su+HhHI7pscdOtfJEEBg2c1vSi4KkgMn2dpPULI6YKA8FvpDK1NRUhO/Zz6qx3orSuK6eIg8t+j0TOmjWLp59+mjfffJNvfetbHHfccWRmZtLY2Mj777/PunXr0DSNE088sTvbK4QQ4hC2qqyZ40dk82lpExtrAozNd3/9m8Re8UXiuK2mtELjtSpOPQnG7BZEuv9pIXh2DNUyQOlKLCWp5RA0nt2bTRZ9bL+DyKuuuorXX3+dmpoa1q1bx7p169LOK6XIz8/nqquuOuBGCiGEGJg+2NaARmrv5cGZ9q+9/uusKmvmlLF5GDRYsb1Rgshu5I8mcO+2HnKNijAKG7b2tR5j4PqXmapFwdZDnvgifOZ50IM1okX/s9/T2bsKd8+cObPTbQ+PPfZY/v73v8t0thBCHCKSumJNpa/1dZUvwm/+s55HPtrBFc+u4oUvKg7o/pF4krVVfiYPyuDIoZl8XCrJNd0plVTT2XrI9FFIxzsmdLcicmQSAGtyJWZ9E37TBb3WVtE/HFD+fXFxMYsXL6a6upq1a9fi9/txu92MHz+e/Pz87mqjEEKIAWBjTYDrX/iKxy6cQrHXzmvra5g+LJNff2Mcayp9/PSlNZQMczPc4yBDM379DXezpspPltNCoceG3Wzk7jc20RiKkemwfP2bxdfyReJpmdkJpVhHhHM1b9p17n9a8H87Di2Djp74Yvzm76E0Vy+2VvQH3VLEKT8/X4JGIYQ4xNUEougKnvu8nOtnjeDVdTVce/xwACYUejhzUgEPmOtw6ibmalkcpTn2aYvcVWXNTB6U2k3FazczJs/FuxWNmIfbyMXEUQZnjzzXoWL3kcgtRLFjoJi2Y4ZGDcebZuoX+FOvVQOuxAuUOd7p7eaKfmCvg8gnnngCgBNPPJHBgwe3vt4bl1xyyb63TAghxIBS7Y8yMtfJ6+trmVjkIZ7UOapdGR5tqhO9tIkJBgtLBjeynSjfJetr7+uLxPm0tIm3N9Vx6fTBrceLj83ileww4xX8myhDlIUCzbyHO4k9aQ6n14jcNZXdPtDPeMRKdFKSxLBUbUh3/GkixqOIG8b0entF39vrIPJ3v/sdmqZRXFzM4MGDW1/vDQkihRDi4FfjjzJlkJcCt5U/vLWF844oxGhI/Z74RA+yWYvyHeXl7+/v5A9zJ3K7qmK4bmU43i7vGYknueTJleR7rJw8OofjR2QDsFFFKMtVNP6zjpNmjmJIkYVH9DpuNhSkZReLveePJhjkbVv/uFqFmW1ot4/2Osj4q5XyFwKp10onI/4I9dbf9HJLRX+x34k1QKcJNbv/J4QQ4tBQG4iS57LwvamDiCd1Th+bqifcoBI8rRq4yJDFaSW56Lpi/bZm5hlyeFyvpzQe6fKeK8ua8NrN/G3OJC4/eihWk5GY0nlcr+c8g5dvluTx7Moyvql5CaN4Q/l763EPOu3XRDarJOXEGUdLUKkDV4Dv0iixw1IJNY7kG2jECBrP7KMWi7621yORd9xxBwATJkxIey2EEEJAaiQyz21lbL6bJZcfSZbTgq4Ui/Q6pmgOpmpO0ODbk4pY8nk594+YyCzNzb315VxDdqf3/HBbI8eUpO9Ms0w148TASZob/+F2PtnyIdV1OlfmjKGKRG886kGp/ZrINSpMCVacLQlQ7mctUA6Nj7YF/J74Ynzmy2SP7EPYXvf8eeedl/Z6VxZ2UVFRtzdKCCHEwFMTiJHnTu2vnOVMZUy/opoJoDNHawsEzxyXzxMf72R1pZ9vFHn4aayCUoObwaRnWetK8dH2Bm49vW29XVwp3lYBbtAseBOLGaye4cXZa1BKIxz7PoMs/4fMge2f9iORq2kr7aP5IfNuGywmVVxcgUnfgT35LrXWP/Vhi0Vf2+/p7J///OecfPLJLFy4sDvbI4QQYgCKJpI0hePkuaytx+pVgn+rZq4w5GBtV6zabjFyyphc3t5Ui1MzcqYrk9d1X/oNFexcFUaLakwobNlGLwo7VwX5/eo/cKL/CDx1LxD0X84z1R9yzQcPY9HXkxX7XW887oDUFI7z7ua6Ls/vGomMKZ0vVJjJmgOAzAdsxMckod1mNJ74YoKmb5A0SGWWQ9l+j0FHIqkh7ZEjR3ZbY4QQQgxMtYEYVpMhLbv3DeVjkuZgkNaxjuO4fDdvragl9wY7V/8vg2pTjIxsA4kjdPQMhetFMyU7MvhEFZJ8XGEIgTEWYOhfLiOZ00z4ts8wrRxL1nYDc62K7GH51Bx2NsnBMg7ZlY93NLL4wx2cMLLjJiC6UgSiCdxWE18RJgsTxZgxlWlkLLZS8a8Ag1oy3zUVxhN/iir7U739CKKf2e+RyNNPPx2lFO+++y66rndnm4QQQgwwtYEouS5La9WOkNJ5TwU4Q/N0ev2RG7P48++mojVpmJ7RWHpXDW9f2giawrzFQMOCCLN/9x5/f24bNfcHqfrHFsIrjuWz6VHWTnieyt8Xs/MtP1vXN7NziZ+AMcHgkz24n5HC412pbI5QF4wRjHVcNxqMJtEVeGwmPlEhjmyp4Zl5n43AWXFiE5Kt17oSL5IwFBIxHNObzRf90H6PRB555JGsWLGCZcuWsWLFCiZNmkRmZiZWqxWDIT02XbBgwQE3VAghRP9V3ZJUs8s7yk8JFoZp1g7X2j4wUXJjBjed8iXn3p7HcYcVMrrMwr3JKgada8SjGakNRNn4RJDDp3hImjdQGD6fzYaj+Lv5F1zXvuyMBdThige+u5nMAiMTvJ0HrQIqfakZxJ2N4Q57jvsicSxGA5g0vtTDfNPgxdCg4XrRQtm/0zPeZZ9ssct+B5E///nPW//irKur44033ujyWgkihRDi4Fbjj7auh0woxZvKz2WGjhnXli+NFMx3UntHiNWJJg6rd3IcMFKzMh47L6kmLtKy+WxnE+PyXeSYPqEgdDGN5sv4lfEyzjVkdrgnwLAsB1/kNDNykuxa05VdQeSOhs6CyFSh8S9UmDxMFGpmPM9YiByZID5K37XDIdbkZ7JPtmgldSKFEEIcsNpArDWI/IIQNjQOw5Z+URQKrnbQeF2EwLfijMxxsrk22Hr62wYvH6ggFSrGyp1NfP+w9ygMf4d66y9YbP4hLs3I1JZkj90NzbKzvSHUY893MKhsjjAmz0VpY8ev067M7E9UkCM1JyTA84SV5u9H2y5Siszob/GZ58k+2QI4gJHIfdn2UAghxMFnc22AzXVBzhiXT40/yviC1OjW+3qAmZqrw65mGY9a0d2K5itSgcmIXCcrtje2ns/TzJyguXg6Wc8kz185q2gplbZnWW2cxtt6DbcaCjF2MYU6NMvB52WVPfSkA18knqQ+FGf2hAI21wU7nPdFE7hcJlYT5gItE+drZjApQie2Wz8Z/C9W/SuqbY/1XsNFv7bPQWRDQwMffvghlZWVuFwujjrqKIYPH94TbRNCCNGPvby6ijc21DKjJIuaQJRcl5UGlWA9ES7T0qeyDfUamffbqFoUaJ0DG5nj5OlPy9KuOxs3O6O/4agJy1hhe5ENhhH8R6/jXM27x32xh2Y52N4QQim111vyHkqq/FGcFiOHFXl4c2Nth/O+SALTYBvFWMjTzGQ8bqH50hgYWy5QSai9iUbLT9G1jA7vF4emfQoiH3/8ce69997W8j67nHfeefzmN7/BZJKq9UIIcahYVd6MxWTg5dVV1ASi5LstfKCCTMCOd7ddTLL+YCM8I07kmLYs3+HZThqCMer8EUx6Kfb4qwyJ/4XCiMaCpkVsGZbJSBXkLC2DY79m+nRwpp1wPEl9MEaOq2Myz6GusjlCocfGkEw7lb4IsYSOxdS2os0XiRMvMXGk5sC03YD1MxNVf2mb9nYlngU9gs96WR+0XvRXe70m8rXXXuOOO+4gHA53WPe4dOlS7rrrrm5vXGVlJdOmTWPFihVpxy+44ALGjBnT4b9Vq1bt8X5ffvklF110EZMnT2bmzJncddddxGKxbm+3EEIc7OoCUSqaI/x41giWfF5OJK6T7bLwPxXgWEN6wGf93Ij7nxbqb0kfgHCbdvLnE+8no7yAwcFpuBJLqbf+kiv/9wjjQ6P5i2EI/2cs4HiDG8PXjC5ajAaKMmxsbwh3+7MeDCp9qSAyx2nBZjJS1pT+dWpIJAhmGjhSc+L+h4XQqXH0rJa8BhUjM3oX5N4GndT8FIeuvR46fPzxxwHQNI0JEyZw9NFHU1ZWxmuvvYau6zz33HP8+Mc/xuHofNHzviovL2fevHn4/emlBXRdZ+PGjcybN4/TTjst7dyoUaO6vF9paSmXX345kydP5t5772XLli0sXLgQv9/Pb3/7225psxBCHCq+KPcxJs/FcSOyefKTnRi0GGWmBBFd53DsbRfGIPcmB40/ipAY1lZT2BtbSGbsbnZYT+Ff9Y8zZegxKCxEE0m+KF/Bj07wYtrHaelhWQ52NIaYNsTbTU958Kj0RSjMsKJpGkOy7JQ2hhme05bJXu1ReMKQ7TTh+YeFmrvbRiE9iadSiTTuC8Dv6+z24hC110Hk1q1b0TSNY445hsWLF7euOXnyySe5/fbbicfjbNu2jQkTJhxQg3RdZ+nSpdx9992dnt+2bRvhcJhZs2YxadKkvb7vokWLcDqdPPjgg1gsFk444QRsNhu33XYbV111FcXFxQfUbiGEOJSsKm/miOIMNE3je1MH8a+vKlnRktnbPvjz/tUKRmj6f21Zvs74Uryx+yi3v85yv5dNdSGmDLOAgo+2N5LnslKUYe/sY/doWJaDHfV7ztC+ddk6rjmuhHyPbY/XHWwqmyMcNTRVHmlIpiMtQzuidHz5BiYETTg+M6E0CB+XSqjRVITM2B+os95JgXZABV3EQWiv/0UEAgEAZs+enbZoefbs2a3/39TUdMAN2rBhA7/61a8499xzOw0k169fD8DYsWP36b7Lly9n1qxZWCxtQ/FnnHEGuq6zfPnyA2u0EEIcYr4ob2ZScSrB4qTRudx97mF8qkIcrbWNblnWGcj8s43au0PQkhNjSX5FXvQ6amwPEzMexmlj8/hwaz3b6lNJMUs+L+dbRxTtV5uOHJpJwR6Cw0pfhA+2NbCptmN28sGu0helsOVrU5BjY1V2nEf0OhYmq7le30nCoBgfs+B+1oL/O20JNZ74YyS1HEKms/qw9aK/2uuRyEQi9VeJx5O+G0BmZlvh1+5YX1hYWMjrr79OQUFBh7WQAOvWrcPtdvO73/2Ot99+m1AoxNFHH82CBQu6zBKPRCKUl5dTUlKSdjwrKwuXy8X27dv32CZN653C/Ls+QxIL+zfpp4FB+qnn1AaiVPmjHF7kaf36rjdEcOgGhmuW1M/MMORf66Tp6gixSUk0wKhXUBj5Lo2WGwmbT0UDsp0Wzp86iOdWlnHm+HzKmyKcMT5vv/rt8CIPhxd1vWPNF+XNAFT5I4fUvwulFJW+CEVeG2F01oyBpjodS1gxwWJjdtzNL15Zw9Cp+TjeNNNwqx9NA4NqIDN2FzX2RWiG1BfsUPq6DUTd8XNvX96710HkrrIJu29p2H5Usjv20PZ6vXs8v27dOvx+P5mZmTzwwAOUl5fzwAMPcOGFF/Liiy+Sn5/f4T0+X2oNh8vVMbvP6XS2jrJ2paTIi9PZe7sglBR5e+2zxP6TfhoYpJ+63xefl3HEoAwmlLSV8Xm6tpkzzFmM8LYMLFwHZEPWnXayTHZI+qF0LmScRXb+L8hu97vjiuMsnLLwXWqCcS6dMYwJwzrudNMdNr2/DavJQDCpGF7s7ZHP6A82Vvtx20wUtiwJqPFFiCV1Jo3K5WcN2xjhdBB/rZl/1GwlEE0NEGU5Lcx4Px/DqRpDjm4JxKt+Bq4TKBz07dZ7y/fTwHAg/RQMdl1Ka3f7XJPno48+6pDs8nXnzj333H39mC7deOONXH311UydOhWAadOmMWXKFM4880yeeOIJbrrppg7v2dPOOXtTU2xbRRMOR/zAGr4XNC3V8dsqmpDNfvov6aeBQfqp57yxuorROU62ljcBqTV1y5PN3GosZGuwCfubJvIfc1L2Xz+Jah2UTkF4DpBHVeJ2qGhuvdeufjp2eBbvb67n56eNar1vd1JK8f6mWo4bkc2GCl+PfEZ/8dOlq6kLRHngO0fgtplYXeEj12XliepywnqCa40FmM/NRilFMJbEbjZiTGrYjzZSeU+AcHkCS/IrikKPU+b8H4nyJvl+GiC6o59Cob1f7rHPQeRTTz3V4diuIKyrc90ZRI4bN67DscGDBzNixIjW9ZK7c7tTuygEgx2/MKFQqPV8V5SiV79pevvzxP6RfhoYpJ+63/rqAJccNbj16/qRHqQAM4WYMdRq5N7goPa3IeKDdVDgjd2HSd9GmeNtFCbopD/mHzOUGSVZZNotPdJfOxvDBKJJZo3M4aEPth+0/yZ0pdhYHWBwpp1fv7qen548ijc31lKQYeUt3c/FhixMaC3Pr+G0pMIAx+tmlFUROiEBuk525EaazVcS14al9Zd8Pw0MB9JP+/K+fUq12pu9snty/+x4PM4LL7zQaT3ISCSStj6zPYfDQX5+Pjt27Eg73tDQQCAQYOTIkd3WRiGEOJiF40m21QcZl5/64zuhFP9WzZypeUBB7o0OwjMTBM5Lzd5YkyvIjP2BatsjKK3rP9gLPDZOHJXbY+3+vKyZwws9DM60U+WLduvvpv5kZ2MYHcU9506gOZxg7uOfsqMhzDHHFWBF4zA6yXpXkPGYBd/FMTCAJ74Io6qj0XJD7z+AGFD2eiTymmuu6cl27BWz2cz9999PUVERTz/9dOvxNWvWUFpayvz587t878yZM3nnnXdYsGBBa4b2q6++itFo5Oijj+7xtgshxMFgU22AbKeFbGfq5+iHKoAVA1M1B443TFi/MrLzLT9oYFD15EfmU2/5BTHjxD5t9+dlzUwalEG+20o8qdMQirc+Q3/UEIwRTeqtGdV7a0NNgFG5LpwWE3/69uGEYkkyHWZu16s4WfN0WrTd/YwF82Yjvr+GMOmlZMd+S6Xt7yite+o+i4PXgAoiAX74wx9yyy23cPPNN3P22WdTXl7On/70J8aMGcN5553Xet2qVavIyspiyJAhAMyfP59ly5Yxf/58Lr/8crZv384f//hH5syZQ2FhYV89jhBCDCjrqwKMbTcKuUz5OE/zYtA0vH+x0fSDKHqGApUgPzKfqPFIfOb/16dt1pXii/Jm5kwpxmw0kOuyUOmLkO208L+t9eS5rYzK3fO2ir3tyU930hiK86sz962c3YbqAGPyUs9iMxuxmY1sVBFqSDBD65ggavnKSM6v7VQ+HkD3JsmP/Bi/6VtETMd2y3OIg9uAqxx6/vnn88c//pGNGzfywx/+kIULF3LSSSfx2GOPpe3dPWfOHB588MHW1yNGjOCRRx4hEolw3XXX8eijj3LZZZdxyy239MVjCCHEgLSu2s+4/FSQ8pEKYgKO1BxYPzVi2WDENzdVVDwr9ltMqooa65/6vC7M6gofmqa1BoqFHhuVvtQWjI+sL+fx6mq2qCiJfjTFvbrCx6aaPVcO6cyGGn9rEAmpZWj/0ps4WXNj3a1YuKFRo+BKB43XR4gcncQb/zNmfRv11t8ccPvFoWGfE2t60/Tp09mwYUOH47Nnz04rct6Zzt43bdo0lixZ0m3tE0KIg0UwluCFLyqZO3UQRkPXQd/6mgDnTiwkonSWqibmGrJSo5B/teK7OIpygTPxEp74Y5Q73kxtl9fH3t5Ux6yROa3PVeCxUeWLUh+MUUOCZKbO/XoNR2oOLtR6przQvghEE2xvCKEr8EXieGx7V3IlntTZXBdkbH7b13wNEcqJc42Wl35xDAqucBI9PEnTlVGsyY/JjN1FuX0ZSuu61qYQ7Q24kUghhBDd762NdTy2opTX1td0OFfpixCJJ2kIxqgLRBmd6+K/ykceJqZgx7LaiOMdM82XRzHr68mNXEON7a/EDSP64EnSJXXFu5vrOHF0Tuuxwgwblc0RVpY1Uew3UPdKHd8MuPhchftFws26Kj+FHhvFGTY278PuOtvqQ9hMxtZ1lLpSPK83cpaWgb39KKSC3J/Z0UJQszCEUVWRH/k+DZZfEDNO6uanEQczCSKFEELw2voajh6WySMf7SAUS6SdW/DSWm54cTUrdjQyLMtB2Kx4TfmYY8jEutZE0YVOGm+MoOc1UxC+mGbLDwmZzuijJ0n3eVkTVpOB8QVtmeEFHitVvggrdzYzfWgmk4ozqN4WJIJOGT1fE/jrrK7ycVihh1G5TjbV7v2U9oaaAGPzXa1l9z5WQSIoTmiXFW/wQf5VDuz/M1P1SBBsPgojFxA2nkiz+YpufxZxcJMgUgghDnE7G8Nsrg1y8ymjGey189zK8tZzvkicsqYwWQ4Lf3x7M0NGe1io1zBVczB6rYOiOU4afxil6cooOdEFJAxDaTR33PShr7y9qY5Zo3LSspKLWtZErtzZxJTBXqYNyeTzHc2Mw8ZXKtyHrU1ZXeFnQqGbkbmuvdrn+40NNfx7bTUfbmtoXQ+plOI/ysdszYO55dktaw0MOtONFtUo+7efZF6UgsilJLQCaq1/7PO1q2LgkSBSCCEOca9vqGFGSSZum4mrjivh+VUV+CKpEbn11QEGDXYy84wiJn13EBUTTRynubjcn03BFQ6arorSfEUUZ+JlnIlXqbH+GbT+8aslltR5f0t9h/qTBR4bNYEYgWiCcQVupg3x8mWFj3HKyuo+DiITSZ311f6WkUjX145EJpI6v39zM2+sr6GsKczUIV4ANhClmSRHt6xJdbxlouh8N765MaoeCaJ7dfKi12JQPqptj4K291vdCbFLv06sEUKIg1WlL8Kv/r2ev313Up+2Q1eK1zfUcv0JwwEYletiSKadT0ubOGl0LqvqfVhO97KZKKdkejlSc5KFifybHcRG6jRdFcWol5MbuZ5a270kDQV9+jztacD5k4oYlZte2ibLYcZiNHB4kQeL0UBxho1spxmtKsGWwighpePoo0B4S10Qi8nAkEw7XruZ8qYIwViidWeZ3ZU2hjEbDfz+vMPSRlvf0H2coLmw+jW8D9rIeMxKzR9DBL+R+uMgK/obbMlPKLf/F9VJ6R8h9kb/+HNRiIOIrhRXL/mCxlCsr5si+rHSxjCb64KtI359ZW2Vn1hCZ9qQth2/jhqWycc7GlFKsaogQVHQyDXGPE43ZJClmch4yIrtE1MqKYNyisLnEDB/m6Dp7D58ko7MRgOXHDWkdY3gLpqmUeCxMmWwt/X1lMFeNpf6KcDMOvpuNHJ1lZ8JBW40TSPDbibXbWVLXddT2lvrgwzPcaQFkLUqzmrCnPt6NkNmerB+aaR8qb81gMyI3Y8n8RQV9udJGnpulyBx8JMgUohu1hSOs6EmwPrqfa/xJg4ddYFUPcWypkiftmNjTYDxBe60sj4lwz181uznPT1AxK3xLZWROqFD9m02Mv9ipWpxEM1bRnH4LMLGWdRZ7uyjJ9g/PzphBGeMayt7k++20hCKc5hm5yvVd32yqaatmDvQklzTdRC5pS7E8Jz0kcS3lJ8TatyU3OCi7rYwlX8PEhunA+CJPUxm7I9U2F4gYRjeMw8hDhkSRArRzWr9qeBgT6MHQtQFUiPVZU19uwZvS11qJAvaClMvyfLj/kYWT6sGGt9vYkKWG8s6A4UXOXG8aabsXwGiExPkRq8nbDyGOuvv+806yL01aVBGWv1Fj82EPxLncM3Omj4s9VMfjJHjatuOcVSua49Fx7fWBRmR3RZERpTOcj3AFT8vInRqgsC5bSPdrvgSsmK/pdL+T2LGw3vmAcQhZWB91wvRCzbVBg7oF0htMBUcbJYgUuxBbTD1x8bOxr4NIrfVhxiR7URXimdVI8tVgFsNhYxcHiPybB1jm2wU3Oyg+Bw3sfFJyv8VIDFUx5F8FZu+inrrHQdFVq/basYfTTASK6E+LPVTH4qR7WgLIsfkufY4q7GlPsiIdiOR/1MBznkli6zPLdT9ou3fli35AbnRn1Bte5yocUrPNF4cciSIFKIdpRTXPf8VW+tD+32PWn8Ut9UkI5Fij+oCMYZm2Xt9JHJ9tZ9VZc1AqhD3tvrUdOg/VRNfqjA3Gwoo1MwcOTSTzPUWHlw4FVOZgZ3v+Kj/eQQ9Q6GpMDnRBdRbfomuZfRq+3uK22bCF0lg0jTGY+uzLO2GYJwsZ1sQOTbfRVlTuHXtbKmK8bheT5NK0BCK0RSKMyw7NZKsK8WHzUEu/U0hdb8Jo2em/hg261soCF9MnfV3hE2zev2ZxMFLgkgh2vFFEsSSOg3B/U+KqQnEOGpoJhXNqaxKITpTF4gxudjbq0FkNJHktlc3sOjDHQBUNIcxaLDGHeNDFeDHhjyyNROWr4zM+f1Qnn96BtvO8VP5VJBEcdvovDd+P0ktF79pbq+1vae5rakgEmhZF9n7QWQsqeOPJshuF0R6bGYGee2sqw7wvu7nLr2KWhXnN3oly33NFHtt2M1GAFYT5tt/zEUfpxOcnQo6Tfo2isLn4DNfht98Sa8/kzi4SRApRDt1LcFjY3j/p7JqA1FG5jjJdVnYWrf/I5ri4FYbjDJ5UAblzRH0Hlp/l9QVt7yylic/2YlSiiWfV2C3GNlQ46c5HGdzXZDBR3l5hWauN+STp5mxfGWk+NsutKGKpx/bhu3/SPtNYdJL8cbuo85694BbB7knHpsJfzSBUorDNTtbSJX66U2NwRhGg4bHll7OZ1yBm/8YfbygmrjWkMeNxgLO07y8khXCe5yXRpXgcxVixVdhTn8ui/rfhkEDk76dovDZ+E3fpsHy8159FnFoOHh+AgjRDep3BZEHUJ6nNhAl121hZI5TprRFp8LxJIFoksOKPCR0RW2gZ8pB/f2zMiqaIyxbU8Xdb27m2ZVlXHvycEaMyeD1qnredIZgrJ0bDPkM0SyQhNwFdpquilD/8wizTsjBsVt9wuzoz/CbvkPUOLlH2txX3DYTSV0RjifJ0kwdS/0oyLzHhtaDRRfqQ3GyHOa0cj1KKTjcTrlX52ZDAWO11L7YxxncDFoRxek08VO9nBebm7jhpsE0/78o8RIdk76DovDZBE3n0WD59UGxblX0PxJECtFOWxC5/yORNYEYuS4rI3KdbK6TMj+io7pADKvJQIbNRJHH1iPJNeur/Tz7WRk/P30M9317Iuur/ZwwPpd/ZgfRjnXzWmGEemuSE7ZbGKZZAfD83YKhWaPpqmin97Qn3sSe/IAG6y+6vb19zWE2YtDAnzal3a7UjwbWNUbyr3PCbgOU8aTO1rogy7fUU+3v/Gu3NxqCMbLaJdUAvK0CVGUp6l6uI3e3/UFKy4Kc7Xdzd7iYhy8fjaNQo/lHUUx6aUsAeQ71lt9IACl6jASRQrRzoNPZSV1RF4iS67IyMsfF5r3Y91YceuqCUXKcFjRNY5DX1u3rImv8UW57dQOXTh/CiBwn+W4r9353IuEZDgZpZq5pyqT2qWqaXq5ngjeV2Wto1Mi6y0bd7WGUreM9jXo1edHrqLf+Cl3L6tb29geapuGxmfFFU0HkEZqdL1SIRLulBjX3hTBvNZD1+/Qv0J2vb+T6F77i3ne38PSnO/e7DfWhGFmOtrJDTSrBUtXI/zPkEPclKG1o+3cSjCUobQwzIeZmwqVelF1R/dcgJtOuAHI29ZbfSgApepQEkUK0Ux+Mke207PdIZEPLNHiO08KIHCfb60Mkkr27rkr0f3Uto9UAgzO7N0O72h/lJ0tXc9SwTL4zqaj1+DNaI9mYmKflMDYvVcy6JhBjeEuNwYzHLUSPSBI+vpNkMBUlP3IJIeMs/KaLu62t/U2qVmTq+UdixYrG6nZT2nqGouqRIJ4nLDhfSgV7Sik+L2vmnm9O4Nrjh7O5Nog1+Qne2O9BJTt8xp76uiEYS8vMfk41coTmYLzRzth8N2ur/a3n3vuynlu+HMsR5+QQG52kanEQo2UnReFzCJrOpN7yOwkgRY+TIFKIduqDMUbmOPd7TWRtIDUdZTSktlWzmAzc+u/1/Po/69neIEk2IqWuXUHpQd5UENmskvwyWcFWtf/TodFEkhtfXM1RQ71cd/zw1u3+6lWCVSrE9wxZGDUNo0HjyCGZ5LmtuKwmtAhkPGal6cpOPlspcqP/h0aSOusfDurAxG1NJdcAGDSNYzQXH+jpswnx4TrVfw6R91MHlq+M1PijBGNJSnKcjMp1sbUuSFQV4E78k4LIXDTla33vjoYQlz+9kuYuZjra14hco8KsURG+o6W2oxyX72ZtlQ+DD7x/tnLRxSXM3lRIxd8bCN32Ejna1QwKzSRoOp16y8FRu1P0fxJECtFOfTDGqDwnDfs5ElnbMpUNqV9Ct5w2mqOGeCn1h1ld2dydTRUDzPKt9fz5va1Ay7+TlhGnwV47OxrDLPRXUhmJ8USifr+ztV9ZXY3LYuTadgEkwNvKzxE4yNba1tSdOiaXE0ZkA+B6wUIiTxE+tuMopCfxCI7kq1TZnkBpncxzH0R21YrcZYbm5EtCBHYbUQzPStDw4wiF85xsXx9meLYDi9FAoceK1WxgS1MWZfb/AopB4dMx6dsB+LKiGV3BmiofndlVIzKpFM/pjZyrZZChpcr3TFeZHLkohyHTPfBOnMd+8gCWl+ZROGYkOdGfoGvZVNr/Rb3lTgkgRa+RIFKIduqCMUbluPBF4iT1ff9FXuOPkudum46aPiyLYybmYjw7k7UeqRl5KFtd4eM/a6uJJpItI5Ft09nhIiM7tTi1S2vx60neV/uekBWJJ3lmZRmXTh+SFkBGlc77KsDJBnfa9UcOzeTKY0tAB+/DVpp+EIHdYg9b8gOyo7+kyvY4SUMRBzu3tW06GyBXMzMcKx+rjmubm6+IEp6ZYMaCXCZkeYDUuspd2xQqzUOV7RlCxlMYFDoZW2I5X1X4MBs0vqrwd7gfpJbDZDvNLFcBdKU4ZVMG3r9aKf6mi7MvK+S4kR/z2VPnYl80iIu/dQ+aKZtK+/OUOr6k3npbKmNeAkjRiySIFKJFUlc0hmKMyHWiK2iO7PtoZPuRSEhNI/5Br8YRUGzP0dMW6YtDS6UvQiSh82lpE3WBtulszW5g0InZ/MiZzwiXnYlVJl5QTfg7WU+3Jy+vriLfbWX60My04ytUkGxMjMLa6fuc/zFjCGgEzk7/925NftK6y0nUOH2f2jJQpWpFpn8dZmguPugkiESD2jtCxGI685cMh5Zv7VG5TjbtSqjTjNRbb6PeehuFke9SYnmO08bmsbqyq5HIGE6nmf/6fPxx3giGnuPB9kWU+C13o382nGE/vZGdFhff/c+v+SjxUUvgOFUCR9FnJIgUokVjKIZSkOey4raa9iu5pjYQI68liNyhotyjVzFZczB+k4aWUHza2S8jcUioaI5Qku3g/S311AVS2dkA/1RNHGGwM9HgIN9tRauOM06z8YRev9d7uMeSOs+uLOeSo9JHIQHeVwFO1FwdjgMQhezf2Wi4KQLtKss4EssoCn+LBusth9QuJ26bOW06G2Cq5qCMGLWq48+DpFXx/879jBGfuSmY78TxtonRWS421qaPJPvNc1mtP83Vhy1mwdS/sr2ugWgi/Y+EpK5oDMcp9en88fyReJSR8k++wvSHYzEftpRa+12UOlcxfNR9HDf+dMbkpY8sC9EXJIgUokV9MEamw4zRoJHpMO9nEBkl12XhXd3P3Xo1J2huvqtl4raa8JQmeE359zowEAcPpRQVvggXTC7mw+0NNITi5LqsbFYRPlchzm9Jnsh3W6n2R7lIy2I7Md7by2ntssYw8aTOUUO8acebVIJSYkzWHJ2+z/uIFT1D4T+/LZHMFX+O/MiVVNsewmf+/v498ADVPrFmF7tmYCw2VnWyDWJFc4RKR4SKV/xExyfJ/amDs+4upnaEkZ8ly7kxWcaPkzu5KVnGraYSros8gdn8Ka9+8xoa6v+ddq/mcJwp9dlc+p1i9BlJGhe9RZHxZMLG4ym3/4eQ6RugGfHYzHzriKLO/ygQopdJEClEi/pQrHXP2kyHmcbwvmdo1wRi2DJM/F01cL0hjzMNGRg0DafFiLE0TgMJNrL/2bdiYGoKx4nGdU4YmY3dbMTQsrXd3/VGZmsZZLYkvOS5rNT4o7g0I/MMOSxRjVR1MgK2u2p/lAKPrUNg8aUKMxwrrpbkjPaMdRre+23U/TLc+pvAFX+O3OiNVNr+Tsh05oE/+ADTvsRPe5M1B5+rjtUVNtYEGJnrRBVB4w0R3nmtFjaYuOzVwZwSdPJDQy4/NuRzlSEX74Y4pthQbrQ8ycvGS5hm+yFe/31YPzfi/I+ZjD9beeLJI3nv+kZMv3iZotj51Ftuod76O9BMHT5biP5AgkghWtQHY61TjJmOfa8VmUjqNARjlLl1xmJj/HYHeT92kHmvlYJ6G8Fwglmam9f0ztdDiYNXRXOEHJcFq8nIscOzyXaY2WCI4ifJKZqn9bp8j7V1x5Oxmo1pmoN3VedJGO1V+6PkuzuuefxShTlCs3c4roUh/wonoVPiRKYnMeo15ESubw0gI6bjDuBpB67dE2t2maQ52EK0wzrV9dUBxuS5AEgoxd88dbz313ouX1xEwTIjJZqVIZqF4ZqVbWubOc3g4acNxWQ8fi3+H7xFdv2DFH1wN94HLRi/MHLrX7cx8Xv/ID8yn2rbX/GbL+uNxxZiv0kQKUSLukC7kUh719PZqyt9LPmk464UX1X6cFqNrDVHufzBAgad7kZZFJbVRi74/jDmLh3KibhZS2SvRpfEwaPCF6HIkyqPc+b4fE4ancvnKsRUzYG53ehhvttKTSDaWuJnsubgy06mUXdX7Y90CCJjSmctEY5oN5VtSa4mN/RDhnw6D8MR/6Xprs/Jjv6MIaFpGGlmp+P9QzaAhJYSP9GOQWSGZmQYVr7YrS/WV/sZ3RJEvqcCWNGYfLiNF75fxsm/LsS8MfUrtjEUg+1w2oOFTJiRySmfebnn2x6u8iyi6bLFrHnuLH766ErGjv4zQ2I/o9L2DCHT7B5/XiEOVL8OIisrK5k2bRorVqxIO75ixQouuugijjzySGbOnMk111zDjh07vvZ+M2fOZMyYMR3+q62t7alHEANIXXC36ewuCo6/vr6Wny39ii3ttjTUleKv/9vOeccMovBtK0c87Kb8+QC1d4WpXhTi7WcrOe6LHEb+n4vpuoM3lIxGHkoqmyMUZqSCyBE5TuYdM5RVKsyU3dYq5rqsJJKKppY/YMbpNhpU8mv/6OhsJHIdEbKVztj4XygIz2Vw6BiKw6dj/cQNW8Zh/Mn/ozh5AkbVSIX9Raptj5IwDOu+hx6A2k9nRxNJttS1fY9P1uxpU9oVzRE21gY4coiXqNJ5RTVxnsGLQdMwXah4/KjtFF7ixPahCduVFl5ffAKWuJGyV/34/h7hnVApxTUjeNX2KnmakaeiZzHH+SQV9peJmI7t9WcXYn/024UW5eXlzJs3D78/fSrn888/5/vf/z4nnXQSv//97wmHw/zlL39h7ty5vPzyy2Rldb6na11dHXV1dSxYsIBJkyalnfN6vT30FGIgqQ/GGF+QynjMdFj4srxjoJdUik32GCWHe/n9W5u5//yJGA0ar62vIRRLkjvKxQXXFtJ4Q4TYxHZTXyMUF122gv8uO57r5w3mBws3E8hKdrpWTRx8KpojDM5sm1beShQdxch2ZXcMPij5TgYflp2Mc4kRe8iIsU7jFbOXUGES03hF6MQEwdPi6JnpyVlVvignjspNO1ae/Io/xG7EjcJnuoSE4VIMbx9Dzo8HUfZfPwnX9WhEUJqrZx9+AHFbzcSSOtFEkrc31vHIRzt47vIj0TSNyZqDF1UTIaXj0Az8e00VM4dnk+mw8IreTC5mjiDVx9OGePl/p6/ieGsO4y7K4MMjytj0ZDMTZ2YAYETjZ6eO5uaX13Bf9uHEcp7m7xsfpiE+jm9Nm9iXXwIh9km/CyJ1XWfp0qXcfffdnZ7/29/+xvDhw7nvvvswGFIDqVOmTGHWrFksXbqUefPmdfq+tWvXAnDqqadSXFzcM40XA1r7NZFZDjON7bYmU0rxkQrykmomNNaCy2Uh8EId97+3lZE5Tp74ZGdql5BnbNgwUH9h+rSX02JihzVE2Qs+8m508tezRrJ6wVaKB5cRHewgkjOhV59V9K5KX4Sj2tVv/FyFOUJzYGg3lZ11j51kts5dp63jtKI8Dh/rIZmnsyIcoqIywcWrcvA8YyH7Nhv1P4/gnxNrLQ6eNhKpdNzxvzI/9lvKzfMJWW4BzYqpXGPQj93U3hMmUawAEwoJINtzWo1ogC+SYE2Vn/pQnNLGMEOzHOS3FB5frgKcqLv4z7oafn76aL5QIf6jmrnBkN+a2KRpGt+ZUszV+krmzhvEM1vLeXjGpLTPOrzIw4VTB/ObVzdwweRilq0/ilPH5vX+QwtxAPrddPaGDRv41a9+xbnnnttpIDlx4kQuvfTS1gASIC8vD5fLRWlpaZf3Xb9+PR6PRwJI0aX6druIpNZEpqazy1WMu/RqlqomZkWdlP+9miNsTo76RhH1wRgfbm9g1tgc6rxGzl2YQ9PPIx3+PMu0lHHK4A+xWJ4kef+VuF8cxayTxpOdMY8i/XTy667CqFf29iOLXlLZHKGoZTpbKcVKFWJKu4QXy5dG3M9ZqL09TNNhMT4f00h0cpJEsWLYCDOvzGig8pow5S8GqLk/ROZ9NgoudaKFUjvVNIXj5LutmPTtFEW+iSP+MLdZHkJZfg2aFUOTRsE8J4FvxgmeKetxu2LQNFwtyTVrq/zYzQY+L2vbrvRkg4e3lI/3t9bjshpxF9l4SK9jviGH4Vr6coKTRucQSCS574utfHdKcdofDLt8d2oxx5Rk8eH2BrKdFo4ozujxZxSiO/W7kcjCwkJef/11CgoKOqyFBLj66qs7HPvoo49obm5m9OjRXd533bp1eDwerrnmGj788EN0XWfWrFksWLCAvLw9//Wnab2zIcCuz5DyX70vltRpjiTIcVnQNMhyWmgKx9GVzl/0Wg7T7PzEkMfnNU0M8dq5KquI/xfZyM9mj2C7ivKK7uP8GzJJTkmin5xM60OTvoVh8ZO5dmIurmQRmCdQnb2QaxjET4cP5/D7fLhLfsHgE4+n3PX6Ib8urbv0l++nSDxJfShOUYYNTYMy4vhIMl6zp9qmQ+4tdpqujpAcrpNfmcrQ3tXuHM1EoW5mLWGmaU7CJyUoe9NH/jwnhZe4+PTeWpxmxZDkw2SF7sBv/h53W+4nW/NiNGhoPii8yEliiE79r8N9/vXYXX/pp108NhNV/gg7GkLMmVLMyrImzjuiEIAp2FkCvFBbx/HT8vmTqmWOIZMpho51OC0mA+dPKuJfX1Vy0uicTp/PqGlcfVxJDz9R9+hv/SQ61x39tC/v7XdB5L6uT2xoaODWW2+loKCAc889t8vr1q1bR3V1NRdccAGXXXYZW7Zs4U9/+hMXX3wxS5cuxeHovBgvQEmRF6fTuU/tOhAlRd5e+yyRsrnGj8NiZPKIHDRNoziRRFdQ5oRwQHFdwWDcFjNvb25g4mAvQ8w2Zruz+JW/khFmG//32RCmvuFCW6ORVdxuRCLphx2XQNaVXPjsifzjyhmMKXCTAUyu3c5Ws86xd42Ay56G0I0MOed7MOIDMGZ22Vaxb/r6+2lDlR+3zcSkETkAPFizldmObMZktfTx80AD2H5rIstmZ8KQTN7dUMPwYm/rPU5pivBFLMwFeS0zKckGWLYNLhzC9Gsa+Oqm32LY1gif/gfDFUezvnIDf6soIudNC7wAHJ76nOEWC/1VX/fTLjkeG2trQwzNdnDRzBLmPvwRQwszMBo0SutDhD4JERlj5atMuNxbwPme3C7vdXNRBlefMpoMu7kXn6Bn9Zd+Ent2IP0UDO79v9d+F0Tui+rqaubPn099fT2PPfbYHgO9O+64A6vVyvjx4wGYNm0aI0eOZO7cubz44ovMnTu3y/duq2jC4ej5KSBNS3X8toomZFOT3vW/LfUM8trYVtE2deWyGvnj1h1UlAa4W63l8qOH8unWekbkpP6dnRZ2cJjRzLBmC4OvcVL38zB+YlDecgOlkx+5BE0VUhW7CYflczbsbMScTCXcjNPNLAvVc2zQCr+BnJ/9Bpd3M/HQ2VRlP0LSIOujDkR/+X76eGs9BW4r2yqa+UAPsFUPc3k8k63hJtCh+FY3vquj+OtTyyeMySRbawJsLW9qvcfhysQLiXIqtvyevMSLmFQFOjYM90QwJi28teF7jHXeReb/MnHcZuSf8QnEhyXxzYwSujVO6KQE9NMiFP2ln3axGjTeWFvF5EEZ2JQOwH9XlWE1Gbju+a84+bA8No8zcYbmZorfzFZ/09fes76H29wb+ls/ic51Rz+FQnu/Pe+ADSI3bNjAD37wA0KhEIsWLWLixD1ntE2ePLnDsalTp+J2u1m/fv0e36sUvfpN09ufJ6C0IcxgryPt656bayOQpXFmjZf/rqzi4iOHsK0uxCmjUyMPFgwMVVbybnAQG53ENycG7d6fGfsDluRayhxvoTDitJgIRBOtn3E4dh6hnko9ToHJTO1dMeIPLyIzeC2DTp1Ovf13+E3flfmjA9TX308VzREKPTZ8epLn9EYuM2Rjw4BS4HzVjMGn4ftO27+dfJeNan80rc35iY94OnIZNYZxVFv/Rsx4ODoeDNTzzKfbqAplUTLcStWiEA9vruPwXBtHZ+yWNNPPf6b0dT/t4raaqA2kKjVoaEwqzuD9zfW8t6We8ycVcclRQ4grhVnT+kV7e1t/6SexZwfST/vyvn6XWLM3PvzwQ773ve+hlOKpp55iypQpe7ze5/Px/PPPs3nz5rTjSini8TiZmTJ1eKgrbQwxNCt9Z49TvjGYSUYHlxw2iKSCT0obKW0KU5LTNuLtfcCKdY2RmvtCrZmyAI7Ev/HG7qfS9jS65gXAaTESiLaV/bFpBg7Dxspdtec0aLrCRGPZI6hfPE5W5DfkRH8MUpi8X/uivLnL/dB1pXhnUz1j8108pxoZg41Ju2pD6pC50EbTDyPQbpY5z20hGEsSaFf0WtdcbLbex9WWP9NgnIGuZYCmoWs5bG7wkNeSmb1VRfmiJMQRnq6X54g989hSYyvjC1I7CU0ZnMEzK8sZnGnnoiMHA6QViBfiUDbggsi1a9dy1VVXUVRUxJIlS/aYTLOL2Wzm17/+NQ899FDa8TfffJNIJML06dN7qrligChtDDPY2xZERpXOCmOIkw1ujAaN08bksvjDHdhMBvJcqd/49ndMZP7ZRtXDwQ51+7Kjv6HG9gBx47jWY06LkWAsfTeMqZqDT3fbk7fpuihhziBx7UfYkqsojJyPQTV18xOL7hCIJvjJ0tVsqAl0ev7fa6ppCscZPTGTL1SI7xna/mA1NGsks/TUCHY7DosJt9XUuv0hQMw4Cbd5NkO0VImZ9tqX93lN+ThOc2HXBtyP9n7DbTVhNxsYlpUKxI8elsXRwzJZcOroTjOshTiUDbifNLfccguJRIJrrrmGyspKVq1a1fpf+xI/7V/b7Xbmz5/Pv/71L+666y4+/PBDHnvsMf7v//6PWbNmMWPGjL56HNEPKKXY2RhmSGbb6M27KkAOJsaSKsty+rh8ttaHKMl2pGrBbYW8HzqovTNEbLze4Z47He8TNJ2ddsxlNRGMpe+9O1FzUEGMmvajjRrU3BVCqy4m+Ogb6GRQHDoVs76lG59adIddgd4H2xo6nGsMxVj04Q6umlXCc1oj52uZeLW2FUR6pqLy2SB03PKakmwHn5Y2djh+oubmfRVIG/ms9kcp8NioUwlWqVDaXtxi32U5zUwo8GA0pALGXJeV288aj8s6YFd/CdFjBtR3xc6dO1uLhv/oRz/qcP68887jzjvvBGDOnDlpr6+99lpycnJ45plnePrpp/F6vcyZM4frrruu9x5A9Et1wRiRRJIibypgjCmd/yoflxqyWosHD860c1ihm5JsJ1oYOB/8F8QInNvFVLPWMbtt15rI9hyagfHY+UyFOFNrVyPOCjV3hyn+djZlZzyBe/CvKQ6dSoX9BWLGSd3x2KIb1LQLIr9/9NDW47WBKHe9sYnJgzKoGqSRqUwctw87w1w+fQg/X7aOU8fkkeVsm+uepNl5UtWzgxjDsBJP6tQHY+S7rbyufEzRHGRrA+rHer9z+rh8ThiZ09fNEGJA6Nc/baZPn86GDRtaXw8ePDjt9Z7sfp3BYODCCy/kwgsv7NY2ioFvZ2OYQo8NizE1ML9cBcjAyOGkr5G84aSRmI0Gsn9jBy803BLZp89xWo34IokOx6dpDt5Sfs4kvdBw7PAkvkui5P7URcXzvySpZVEYuZAy+zskDV2XFRG9pzYQ5YhiD2sr/VT6Ugk0r62v4c/vbeW4EdnMOXYwd6oaFhgK9mkqdGJxBkcNzWTRhzv46SmjWo9bNAPTNCcfqiDDNCu1gSgmo4bZbuB9FeAmQ35PPOYhxWI0tP4sEELsmXyniENeaWOYIS37GiuleFX5mG3IaB2F3GVIpoOSNS5cSy3wOPv8J5jLYiK420jkWxtrefXNMnYSo151DDAbbohg3mnA8Y6JZvM1hI0zyY9cLsk2/USNP8qwLAeTBmXwwbYG1lT6uO/dLfzijLHcdPIoXjMHmKY5GKzte33GH8wcxntb6vhgW3qBmGM0Jx+rIAml2FYfYpDXzss0MxYbw7RO5saFEKKHSBApDnmljSGGtCyiryGBH50jdhuFBNDCkHeTnYYFYRja4fTXclqNBHZbE/lJaROrtjUxDluHBBsAZQf/+TFc/7SAplFrvRcDfvIj30dTnSdziN5TE4iS67IyoySLtzfWcsfrm5h39FCmDfGyQ0VZqUKc25Kdv69yXVZuPGkUd76+iTtf30hzy17uI7FiRWMNYb4o9zFqlIf/qSBzDFJlQgjRuySIFIe8nY1hhrRkZm9WUYZhwdTJ1KPnSSuJAoXv4liHc3vD2clI5OpKH8FYkuFhE5+pzgu8+r8Vw/maGc0PSnNQYX8RAwGKw2dg0rveL170vJpAaj3iMSVZrKsOUJxh49yJqS3y/qU3c7LmJusA1ijOGpXDI3Mn448muPmlNUTiSQyaxtGai3/pzawyhWkeZ+FUzU1eJ+twhRCiJ0kQKQ55pY1hBrdMZ28hysgupgT934lR+Whgv79rXFZjWnZ2QyhGlS/CiBwnhooEpbtnabeIj9KJjUri+k9qSlTXMqm0/YOw8ViKw6djSa7ZvwaJA1bjT41E5rqsXHNcCT89ZRQGTaNaxVlHpFsypXNcVn595ljsFiP3vLkJpRSnaR7G6lbCQ01g0fiGlvH1NxJCiG4mQaQ4pAVjCeqCsdbyPptVlBFdBJF6pkK59/+znBZTWp3INZV+SrKdTBmUwdbKABNxsKKL0cjAt2O4lrYbadJM1FvuoNn8A4rCZ2FNfrz/DRP7Jakr6oKx1kLf5x1RRHZLJvWbys80zUGGZuyWzzIZDfzyjLFsqAny7MpyHJqBwWVgejvA78yDsEpdSCFEH5CfPOKQtrMxTKbDjNtmIqiSVBJnRGeF+7qB02pMK/GzutLHhEI34wrcrK8OcLTByUcq2OnuJ4Fz4thXmDBWtptm1zSaLNfTYL2VwvB3ZWq7lzWEYiilyHGmJ82Elc7/VICTtQP4i6MTGXYzPz99NE99upP6YIwvK5o5olhGIIUQfUeCSHFIa78ecgsx8jHh7qbRo925LCbCcZ2kngoSV1f6OLzQw9h8N1vqgoxJWvGjs42Oay6TuYrQCQk8/7+9+w5vqnwbOP49SZqOpLt0UMqWvWWKCKJsB05kiKC+CgpuEFEUQUQQUVBEFEQEFeGnKOJAZCmIDAWRJatQaOmmI6Ntmpz3j9pAoYxC0yTt/bkuL0tyTvKc3Dnn3HnmF+cnuDk+D5Lrcw/ReUNR1LJNOySuXGpuPuEGvXNS6mKbVRM10LtkpHSjqEA61g5j0bYE/k7MoUV1mVhcCOE+kkSKKu34aatzZPYRNe+C/SHLg8G3KDm1FNjJs9k5lGamaUwQkUY9gX46jqdbaEsAGwtySt0/++F8gj/Vo5SSJ2boJ+PAj/D8cS4rvygpzVRApPH878tJCuijcV1y91DHmvzybxqH0kxSEymEcCtJIkWVduK0xTmo5rCaT/3/ljl0Bb1Wg06jYCoo5N9UE2EBPkQF+qIoCo2jAtmfkkvqnhw2YeaVwiRm21NJO2ugjfW6QgojVYzflDLnoKInxW8+gYXL0Nv3uewYxBmpuflUCzw/iRymiaCVElDKHuWjerA/fZtEUT3Yz9kHUwgh3EGSSFGlJfzXnF2oqsRTcMFBNeVBURQMei3m/EJ2nsymWcyZ2qpGUUYWbzvBn7syKPw5i/rJGsIVLW84UkhU/2veViD7//II+cgXzu82iV1TgxyfBwgteMNlxyDOSDXll1oTWRH+77paTL21iVveWwghikkSKaqsQruDxOw8aoYFsBsrwWiJdvFKoEZfHVlWG9/vTaZno0jn49fGhRBh0DPzjmbcFBVG/J4sBilhdFcCme5Ica5mk3ubDc1pBf8NpZczy+cpAuxr0dt3u/Q4RHES6Z6aQF+dlurB50+IL4QQFUmSSFFlncrJw0ejUM2oZ5PDRGfFeN5Sh+XNoNfy7T/JBPv50K5miPPxRlGBzB/UmpggPzrXDWfb8dPY7Cr9NME0VvxYr+YWbegLWSPyCZ/uB/bzX9+uiSLb5yHCCl5z6XGIoubsyFKas4UQoqqQJFJUWQmnrdQI9ScbO/uw0lkxuPw9Db46fo/P5J7WsRdMWOuGBxDir2fnySwAblQC2aSasP039U/2A/lochUCl5deC5alfwpfxy6Mtq9ccgyiSJqpgGpuas4WQghPIEmkqLISTlupFerP76qZJvgTehXL010uo15HuEFP9wYRF9xGURQ61w1j89FMABrgSxDaM8si+kL6S3mEvemHUsry2Q4ljDTfWUTkP4fWkeSKw6jy8gvtZFltRElNpBCiCpMkUlRZxTWRm1QT12uMFfKeDaOMDG0Xh4/24qde57phbI7PxO5QURSFboqR9eqZjNHSy4atvp3qA4yEzvRDv7/k61l0fTDrbiUyfzSUMnm5uDqnsvPx89EQ5Of6Hx5CCOGpJIkUVYopv5B0Uz5QNL1PVLg//mhoQcUMUhh4bQ1uaRZ9ye2aRgfhq9Ow+WgGAB0VIycp4LhaVHYU2DPjNCfvMuNzXENs/0ACl5Vs3k73fQ0fx2GCbPPL/Tiquj2ncmgSFejyPrRCCOHJJIkUXkdVVXLybJfe8Cx2h8q3/5xi6OI/Gbnsb9JM+SScttIgOICXtTHoPCwZ0GoU7m0dy9K/ElFVlQBFw01KIJ85MnH8V7P40b/HecBnByfeyuXUJ2bCX/Mj7I0z81yqShCpfu8TXvAqPo7D7jqUSumfUzk0l9VihBBVnCSRwut8vzeFIZ/+SXJO0dItdofKpqMZzuTqXNlWG8+s2MM3u0/x/M3X0LluOGO/3YvVZic2xHOnSendOJKU3Hx2nswG4FYlBAsOfvlvpPbBVBM5eYUs3n6SvE6FnPzORNDnegyrfJyvkaftTI7PcCLzRqAUj/AWV+2fJEkihRBCkkjhVQrsDpbsOEFssB9v/HIIu0Nl1oYjvPLDAbYdP33e9idOW3h8+W6qGfV8MKAlHWqHMapLHUIDfIgO8kN/ib6J7uTno+XOljF88ddJAHwUhWGacL5VszhmyyPhtIVX+jRkxd9JHEk3U1jLQeoMC9WeD0B34sxxZepfxKEEUsvcmuCCOaCevza3uHypufmkmwtoHBXo7qIIIYRbee4dVIhS/LgvhUBfHTPvbE621cZjy//mr5NZdLm5Op+b0lnryHFOhQOwPSGLXo0jebFnA3x1RWtX67QaJvVtzIReDd11GJfttmYx7E/O5Uh60cjs+oofPZUg3iSVyIZGWtcI4c6W1fn4j+MAWHoWkntXAdGPBqBLLGqiVxU/Tvl9TYrfPAILv6B63l1o1PMTbk+Wm1fI/N+PkWmu2AR40dYEVvxdcoT7P0k5NKhmxM9HW6FlEUIITyNJpPAaBYUOPt9xkgfa18TfR8v4ng3w0Sj0v7sOufV1pOvs/JtvxX7WmoB3tqzO/e3izhsAYfTV0SCyYkZkX41APx3X1Qnj1yPpzsdu14TQ5KSGgOuD+cCRRqOmIew8mU1BoQOAjBet5LWwU6NHEIFf6IuWSFQUrLqbSPT/GTuhxFp6onMkuOmoym79oTRW7knmwc93snp/aoW8518nsvjfriTa1wot8fjupGxpyhZCCCSJFB5k76kcbHZHqc+Z8guZ9stBQgN86Fw3DIBrqhkZd3dj1vuaeUwbScuTOuzbzPgpletrfX3dcH47klHisdzDFtof0BCOjmWGHKJvr8ZvKf/VLvpC+htWUuaZCZvpR+QTASiWoqdUJYAUv0+w6roRY70HjZpdwUdTup8PpHIorZRJL/+z4XA6D3WqxQs9GzBz/WFS/usP6yo5eTam/XKIkV3qnNdvVgbVCCFEkcp1txVey1pg57lv9rLr5PlJzZF0M48s3YXV5uD1W5s4axVtqspHjnR6KUHUU3y5o0UMqw+kYCkorOjiu1S7WqGcys4n4bTF+djBNBMtQgO5RxPKm5pYIgu0fFktl9WObLL+W2c76/oCdv6QiS5VIfb2QHTH/jvdFQ3p+jewaeoTlfcAqGUb6V7ebHYHH2yKx2orZR1HINNcwJ5TuXSpG06HWqE0jg7kr1K+J+Vp0dYTNIg00qdxZInHs602Tpy20ixG+kMKIYQkkcIjbEs4TYHdQXJu/nnPrdidRNu4EKbc0piwgDNzIa5Tc9Gi0E8JBqBBpJHhHWuh4FnT9Vwtfx8t7WqFsOlI0Qo21gI7CZlWGlQrWqZRr2i4zRGEbWMOu1UrzzsSed5+klGOE4wLS2TO4pNYutqocYuRgHX/TY6taEnx+xCtmkVU3sMoquVCb+9y246fJkCvo3lM6bV7vx7JoHlMEGGGoti3qRHsXBLSVbYnnOb25tHndYMw5RfSpV44QX4+F9hTCCGqDo9OIk+dOkXbtm3ZunVricePHj3KI488wrXXXkuHDh0YP348OTk5l3y93bt3M2TIEFq3bk3nzp2ZNm0aBQUyUtUT/Ho4HZ1GIaWUJPJAiomOdUJL3NBNqp3v1Wzu1YSiP6Uh9E0/oh808MQLDTCYKt8qIl3qhbPpv4nHD6ebqWbUE3pWQt0qNpikQybuN4cwQ1ODYZpwxlurkbMig9X5WYx54gjJUy1EPW4g9G1fcICqGEjy/xqtmkF1661oHcluObafD6TSs1G1C07cvfFwOt2uCXf+u1WNYHaezEZVVWyqyh7VSq5aei3mlUgz5ZOcm0/T6POT2tgQf17u3ajc3ksIIbyZxyaRiYmJDB8+nNzcknPb5eTkMGzYMDIzM5k+fTrPPvssa9as4amnnrro6yUkJDB8+HD8/Px45513eOihh1iyZAmTJk1y4VGIi8m2FjWj5tns/HH8NDdeE3FeXzdrgZ3jmRYaRpZsPlylZtMkz4/rXwyl5g1B6I9qsNxgI2OCFUdo5Vvmr1PtMI6km9mdmM3+5FyuOWdQUIBeR7OYILYnZBGoaGms+LNhbxo1dHraHNRwwGLhlRsTOLEiB+M3eqIfNKDJVHAoYST5f02BpjHVrf3QOlIq9LiyrTa2HjtNj0aRpT6fbspnb3Iu19c9k0Q2jgrEUmBnsTmd5xwnWejIYIIjiU0OE2o5LPG4OzGHBtUM+Otl9LUQQlyMx1XZOBwOVqxYwfTp00t9/osvviAnJ4dvvvmGsLCiARZRUVE88sgj7Nixg7Zt25a63/z58zEYDLz//vvo9Xq6du2Kn58fkydPZuTIkcTGxrrsmMT5vvo7iQ82xfNSr4ZoFYVIoy8daoey4u9TJbY7lGYiwqAn/L+mTLuqskO18KtqYuEb1+D7j5aTq3Ox1St9QE5lYfTVcVer6kz4YT+mfDsPdax13jbta4Xwe3wmtzaLpsDuYNWeFF7s2YA2cSEUbjvGPw3zWdggnaErHUSOM1Dz+iCyH8kj62FIM8ymWv4TxOTdQZL/9ziU0FJKUf7WH0qncXQgMUF+pT6/OT6T5jFBJWpdfbQamlcPIjsjnydqRlIXPbux8pkjk+PkM4iwq1qO8O/EbFrGBl/x/kIIUVV4XE3kv//+y8SJE+nfv3+pieSmTZu49tprnQkkQJcuXTAYDPz6668XfN1NmzbRrVs39PozN6PevXvjcDjYtGlT+R6EuKif9qWwaGsCj3auzfS1h1i0LYEb6oUTHeh3Xp/IAykmGkYFoqoq2xxmXnQk8o2axbh11Yn62o+UueZKn0AWe+S62qx4uAOfDmnDXa1iznv+pgbVOJhq4rs9yWw8lE6wv47WNYqSoVuviSThm1T+cVhZEniaU++bSV5kwn+TD7U6BxE83590dRY2TUNirANQVNeOfi62/lA6NzesdsHnt8RnOkfjn61NjRBS9+RST/FFURRaKgGM00SzU7Xy81WuzPN3UjYtJIkUQohL8rgkMiYmhjVr1vDCCy/g53d+7cSRI0eoU6dOicc0Gg01atTg2LFjpb5mXl4eiYmJ5+0XFhaG0Wi84H6i/CWctvDur0d57ZbG3N0qlnE3NyDhtJUb6kcQFehLprmAP+1m9qtWVFXlQGouteIMzHWks1TN5A4llDcyYrlhTBjpUywU1qh8TdcXo1EUYkP8nROnny3C6MurfRvxweZ4Fm5N4I4WMc4aubjQAOob/bn2kIb9qpWP1QxMbQtJWm4iZZaFwK99qH5fMKnqB0Wvlf8clEPT8MWoqsqRdFOpfQ8BzAWF7DqZzXV1zk8iW8cF83diNpuPZvDtP6cw5RcSpuh4QhPJd2oWf6pm57ZKHvgcvbxLXYa5gKTsPBl9LYQQl8HjmrNDQkIu+nxOTg4Gg+G8xw0GAyZT6fPMFQ+6MRrPn1z6YvsVU5Si/1yt+D0q4r3c5cRpK7XCApzNhTfUD+fruPYYfXWoqkpIi0AWqhn4OBQC0XLyWh0nQx10VBQma6pjVLREvhqA9fpCzHfYzh+HrdpAce3IWU+OU/PqQTzZtR7ztxynR6PIEmXs3TiK7/5JZlrjZrxtT+UdUhmhiUC5ERKvM1H9XiPVxoeS8tanxFq7E1z4ETn6R1xW1pTcfGx2lRqhfqV+ljsSsogL9Scm+Pwfk/WrGage7Men20+Qb3NwNN3MM93rU0vR8yjV+MCRRpiioy7gk6Ch+i2BmG4rIPOFPBzhF06Odydlc001I0bfokvjAUceNlSaazx3jXVv58nnkzhD4uQdyiNOZdnX45LIy1FafydVVS/YD+pine0vtl+xOtVDSk1cXaVO9ZAKe6+Ktjkhi7jwAOrGhpz33Le56YS0C2R4YQT960XzQ2YGL635h7WDOxPl71u00SpgE7AfjJH6ki9g3Qon+kC9Q6ANP/fly52nxmlkbAiPdL8Grabk93pYhJE5v8Xjr9PzQfUGvJlxkqn5KUypVod6en9YBX7tIPCrRjDiGyISuhMR2Q4MN7qknMdzU6lbzUDDmufXNALM/i2efi2rl/pdAVjzbDcATmRa6PH2Rkb1aECj6CDqEoKS68N7Wck0toVQ48Yg2A9BT/sS1NMX1gJNSy/Tgm0n6Noo0vmeb506RC9jGHUDSy+DKD+eej6JkiRO3uFq4mQ2X35FjNclkUajsdSaQ4vFQnR0dKn7BAYWNU2ZzebznrNYLM7nLyQ+KYuAANdPyKwoRYGPT8pydUui2/yblI2/VuFoYlaJx62qg/ftSQTtyCM1PJeT/gFY4nMJzwRzppWjWFFMEPdIEJkTrJhsNkg8s7+PfS/VLbdy2nc8OclaoOTrlydvjlPnumEs/PUIj3SuzWA1iFWqyrOnjvCSNpowRYfvB1pi7jGS2KYRvrXeJPzk3SQGrKdQU7Pcy7LlUCqxQX4cTcw678dcod3BL/tTePP2pud9V0rTv3kML361m2m3N+VQqonIAD2dDQYePXWQXkoQN2sC8Z2tIWS2L0HdfDn1pQlbw5J9aTPMBXyzM5Fpt9bj1PEvKSz8jUfsWwnPG8rRnPvL+/DFf7z5fKpKJE7eoTziZLGcnytdiNclkXXq1CEhoeSavw6Hg5MnT9KzZ89S9wkICCAqKorjx4+XeDwzMxOTyUT9+vUv+p6q6vLuYW59v4qUYS4g0uh73vHtcFiojg8BNh+Sc/NQVdifYqJRZKBz2/A3/Cmobyf3LhtnLY+NzpFAjPUusvSjyfZ5uMRzruSNcereoBrvbDjCQ51qoVEU+hHMacXOu/Y0ntdEobaEnKH5RIwNIGn5QPS63URZB5Lk/y0OJaJcyxKfbqFWWAB2h8osRyrdNYG0VAIA2J2Ug69OS/1qxsv6jAdeW4MHlvzFHR9tQ0XFZle5o0UML/WuzUenT7EdMy9qYjg9Oh8VqH6vkaSlJgoanUkk5/4Wz0udfqZP4HwceeHs1nYmXnc3Qbp+Xhdnb+SN51NVJHHyDlcTp7Ls53EDay6lc+fObN++nczMTOdjv/32G2azmc6dO190vw0bNpSYXPynn35Cq9XSsWNHl5ZZnJFptpVYdabYFtVEJ8VAVJAvKTlFI7R3JJymxX9rFPv+qSVwmZ60qVbO7gipUbOJyRuASXcHWfqnK+QYvNm1NYIpKHSw91TRCGZFURiohGFAw2K16JzKfCYP3SmFwKV6MvSTKdA0JtbSG53jWLmW5XimhTphAaxRc0inkEac6fsY5OfDw/8lupfD6KvjjduaMOWWxnz9UAfevbsFB1NNPPv+X9yZaUQFflaL+kZnjc4n6+F8qt9nRH+g6BL454ksth4/TfM6t5Lkv4qj/n8y0ed5gi3DINv1XSOEEMIbeV0SOWjQIHx9fRk+fDhr1qxh+fLljBkzhhtuuIHWrVs7t9u1a1eJGsuHH36YjIwMHn74YdavX8/ChQuZOnUqAwYMICbm/OlShGtkmAucy9c5H1MLOUI+7RUDUYG+pOTmk5KTx6E0M9fVDYMCiBwbwOmn8yisdVYTpFpAVN4D2JS6ZOhfq+Aj8U46rYau9cNZdzDtzGOKwsOaCHarVv5RragBkPa6lfDX/dCm+pDq+yFmXV9irT3xs28ul3I4VJXjp634Rej5Vs3mIU0EvsqZy1G9CAM9LzAB+YVcU81I05ggtBqFehEG3uzflGHX1ebZr/fQ5KSG79VsUv9bJzxrVD5Z/5dP9QFGAlbrmLspnuEdauJvbE2BtgW7sNJ3eRjdb6iG8VtZ4lAIIUrjdUlkWFgYn376KaGhoTz33HO8/fbb9O7dm7fffrvEdgMGDOD99993/rtevXp8/PHH5OXl8cQTT7Bw4UKGDRvGiy++WNGHUKVlWAqIOCeJ3KqaaYI/gYqWqEA/UnLz2XgkgzZxIQT5+RD6vi+qXiXr4bPmkFTtROaPQKPmkuL3ISiyusjluqlBNTYcTqfQfiYhD1a03KOEsMSRQZ7qwNqtEEv3QiIm+oOiIdN3Epn6F4mxDiCkYHaZ2jvWHUzjqa//4VjGmfW5k3PycKgqa4xmeipB1FV8y/UYoaiW9f9uqMszN9Zj1a+JdFaMfOrIxPFf2bMezyd9opXwMf6Mn9+Ygf/UxPCjD6Fv+tGlRwSD34kidaaFnAdkaVQhhCiNR/eJ7NChA//+++95jzdo0IBPPvnkovuWtl/btm1ZtmxZeRVPlJHdoZJlsREWcKZmR1VVtqhmblOKpvyJDvIlzZTPuoNp9G8Rg89hDSHv+5H4lenMt1VVicgfg699H4kBP6AqFTdyvjJoEh1IgI+WL3cmcm/rWHQahaMZFmpptUQE6VipZnOvEkrGy1bibgwkYI0OS49Ccn0eIF/Tiui8+9GqyWTop1x0LoiCQgcz1x9me0IWneuG8cRXu3m5d0Pa1gwlPsNCzZpGTlDAU0rZahzLql3NUKb+fIhehUbe0qbxk5pD3/++b6Y7bCwOTqDJp8GErvZFk6GQVd/GwidTuO1mIwEB8uNECCEuxKOTSFG5ZFqKanTOXsLuEPnkYKelUjQPX1iAHkVRiM+w0LlWONWGBJAzNJ+C5nbnPiG2dwiwryHR/yccSunTw4gLUxSF526qz5xf41m1Jxl/vZbErDziQv2ZOKAJr6sp9FKDCI7QkvGylWovBnCydS72CJUCbUuS/FcRa+2DgyBO+4674PvsOJHF30k5fHRfK8IMelrFBvPKjwd4tU9jjmVaCGxsoLESgL/i2gaRYH8fqgX6kphmZUT1akxzJFNf9aWBUtQH85eMVAzjtJxqVDSo50NHGkFoCdBIAimEEBfjdc3ZwntlmgsICfApMX/hWkcuNyhG9P8lElqNQqRRz7VxIcQuC0CXopD57Jkl+AIKVxNa8DbJfl9g18h651eqdY0QPhzYilE31OWB9jX534PtOW2xkZJopQl+rP1vEEru3TasnQqJfsiAYi3at1BTkyT/FQQXLiC44L0Lvkdqbj71IwzOPrDdG1TjmW71mbz6AH8cP421uo7OFVSLfE01A4fSzNRU9NyjhDLPkU6SaiPNlM+hNDMdahWtFZ6hFvKXaqGHUvoqOkIIIc6QJFJUmAyLjfCz+kNmqIX8jYVuSsl5OhtFBTIiuS7hb/iT+rYF9b/FQnwch4jMe4RUv9kUaJtVZNErJY2i0LluOF3rRxDop+P25tF8tSuJ3pog1qu5WFUHKJA63YLqA5FPBcB/3ShtmgYk+X1NaMEMAm2flPr6qaZ8Io0l+zre1LAatzWLIV5vQ68oNOT81Whc4ZpqRg6lFc0v21Ux0lUx8oYjmZUp6TSPCSLY34cstZDl6mnaKAGEK9JII4QQlyJJpKgwmeYCws9qyt6g5tKS82/YU+3N6DojiuQPzOS1L2rG1qjZRFsHk+PzMGZd/4osdpVxa7Nodp7MxjfLQQ30/KoWTQOELyR/ZEb/r5awqWeSvgJtc075LyMi/2WCCj48b7BNWm4+1QLPn85peMeatLi+GtdrjM4pfELf8sNvu+uajxv8VxMJRc35t2lCGKiEsiXORl6fQF61J/G8I5E81UF/JcRl5RBCiMpEkkhRYYqm9ykaVGNTVX5TTXTXnFULmQ/hr/pR7bkAUt43Y+1WWPS46iAy71Fsmjpk6mU0vauEBujp3iCCr/8+RW9NEGvUXGz/JYaOUJVTn5gJWqYnaPGZxDBf255T/ssIsc0mOu8+tI5U53Ol1UQ6VJX/qVlYgxS664qajA0rfQj+RI+tRskVZMrTNdWMJJy2kGc707e2cb4vSUuSGW4P4zZNCNM0sTyljSLSxWuvCyFEZSFJpKgwGZYzNZG7sWBAQwP+SzJsEDvAiN8OHSd/yMVyU6Fzv7CCSfg4jpLq9yG4eBBGVde9QTV2nMiiOf4Y0LBVPbP8VWFtB6c+NhM+xZ+A9Wdqj/O0HTkZsBmHEkwNazd87X8BRX0iIwPPJJEOVWWeI53dqoXxmqJlFnUJGqq9EEDqWxbsMa5bBiPMoCfU34ejZ00z9Mu/qTQJM9LWEEhrJYAQacIWQogykTuyqDCZ5gJnn8htDgsdFINzveSQD31RLAqJX5korH2mRiqo4EOCCj/jlP9SHP9NyyJcp36EgaTsPKw2O72VIH5Ss53zKgLkX2sn9S0LkY8b0O87c/lwKMGk+s4jy+dJqltvIzD/Q8z5OSVqItepuZykgHGaaKopPpAPUaMCyL2rAEvPQlyt/ln9IlVV5af9qfRq7NrphYQQojKTJFJUmEyLjTCDHqvqYDdW2v83MlcXryF0th9p0yxwVhc6g20F4QWvccrvSwo1dd1U6qol2N+HCIOe+AwL7RQDBaj8jbXENuZ+NrKeyCPmASPaU2fNE6koZOsfJdnvMwwFi/njnqE09hmHf+GvZDjyWKFm8YAmHON/E8NHvOoPmgIKXviQOEsn/At/cemxXRNpcCaRB1NNpObm06WuLGkohBBXStpvRIVJ/29gzS7VQgw+RCs+oEK1F/zJGVhAfusz/dUCbZ8Tkf88yX6fkK9t48ZSVz31IgwcTjPTLCaInkoQPzqyaaXxd9YaA2Q9mo/uuIaYYUYSv8pFNZ7Z36rryg7TKr7atorZvf8mMn8EIaqZ9zQtCde2w6aJw3dLOIGNN6OOW0GIGsZpn2ewam906XE1qGZk7r/xJGZZ+elAKjdeE4Gfj8wFKYQQV0pqIkWFsDtUTluK1s3eqprpoBRN7By4XI9PvJbM5/6r7VJthBS8RXj+C5zyX4pVd5MbS1011YswcDS9qC9kF8XIaez8cVbfSAAUSJ9sxR7pIOoxA5zTGp2SW0BGYXPSfafzsd/vvOz7Ef6629GoGQQl/USQ/l0sXRSSDR9zwn8zJp97XL50ZbuaobSuEcLDX+zix30p9G4c5dL3E0KIyk5qIkWFyM6z4VBBH6BhP3kMVcLRpiuET/Yj9R0LqhH8C38hIv8FVMWHJP/vKNC2cHexq6T61Qx8+VciAL6KhsGaMD5xZNBU9Sfo7ERPB8lzzcTeFUjMEAPpk6zYGhT1Z037b2T2ITWPr8nhGV1X8hRffL7QEzjJn1NzzVhru74f5Nn0Og3Pdq/P4LY1+PNEFo2ijJfeSQghxAVJTaSoEJnmAoL9dGxXrNTHlzBFR/hEfyxdCrHcVIihcBXRecPJ0j/OSf/fJIF0o7rhBuIzLNgdRQNqWikBNFL8WKpmOrdRVZWvdiVx3GYh8X+5FDSzU6NfIH5TfMAOqbkFBIf58oEjnXuUUOoV+BIxwZ/wKX6c+tR0ZvomN4gO8qNf0+gSzfNCCCHKTpLISsCUX8iknw7wzoYjWM+aB8+TJGbnEWYomsC6qxJIwHodARt0ZLxqxc++hci8kaT4fUSuzzCXN2uKi6se7IdGAyezzgyoGaiEsU/NY5vDjKqqvL8pnrmb4lmy/QRqIGS8lMe4cX+jrlCIfthAdoaNhIYa2mUGcMtXYdS4w4jv31pO/pRLXjvP/I4KIYQoG2nO9nIHU01MXv0vtUL9OXHayogvd9G3XXVy/VV8g3TEBfkTqGhoiJ9zVGxFMuUXsnj7Cb7bk8ytN9bgIA7aWAKIeCGAjJfy8An9jWjrENJ9X8ei613h5RPn02oU6oYbOJJuplZYUd/VYEXLQ5oI5jnS2LQzlT+PZjL99qaMX7WPkZYCrDYHKwqSWDMolQ07ujH/6faoGtA6IL+VHdNtNrIezC8x+l4IIYR3kyTSC9gdKv+mmmgYaUSrUVBVla3HT/P136f451QOfbrXQFvPlwQK8HXYWUM+2lwHAftVzNkqcfkBHLGZiLb70MjPj1oBeuzRKvYYB/Yw1WX10dlWG2O/3Uugn473723JzyFmOqMjaoY/hbXsqHd+Skzec6T7vkmuz0DXFEJckXoRRUlk9wbVnI81V/xplqvnj1omXrumCXWCAmgVG8wP+1I4nWej4e3RmKtpGGTbj3+SlgfyQmhWIxBHiOsmERdCCOE+kkR6uCyrjSk//8s/iTlEBvrSp0kU64+mYwpWqN8xlMbhQZxQFK5X9PRQggjRaAlFR+ARHTGDjGQEF5AUYCUm0o8CP8jNt1Ng1lAtTY8hXYtDr+LouY7CDgfJqx1KXqNgCiLDKVTiUBX/Ky53ttXGmG/3Ehfixws9GmDWqPzlSOOt3TUJWupD7sZxRBR8xCm/L8jTdSnHT0yUh3oRBjYfzSjxWIHdwR/fJxHXJ4L3DJkMVuG25jHM2ngEn+sDqRVm5NojCluTsth1IpcXB0Th8JMEUgghKitJIj1UQaGDdYfSWLQ1gSYxQfzvofZsOZbJCp9slP6h1FJ0NNX401IJoAG+aM4ZJJDXzk78kWzQwJq/k1jwx3Ge7FqPa2uF8I+vjT/yTRy2FVArw5cR+X9RX/2FIFsmwVkZoEkHvQ2rz3VYfbqQr2lDvrblZa8Yo6oqU34+SI0QPx7uUZevlCw2O8y0LQyg4Us+2JYPIMD4F4n+P2PTNHDFxyeuUoNqBhZsOY7doaLVFH23lu9MxE+n4ZXgGvypWPnUkUFeTQfGARFoLSrjfWOw1Cjk01+O4avTEOgrlxchhKjM5CrvQXLzCvlkczybDqax/fhpwgx6hnWoRc9G1VAUhR4NI4lSjUTgQwy6S48u/a+Z+o6W1ake7Mc7G4/yxi+H8NEoKIpCSIAOayMDk9v0pUDThx5KEF0sBsK3+BL2+Un0TX9GuXsjQRGL0HGCfE0brNrO2DR1sThq8NMhfz7fpaD38aVGiD9D2tagTriB9YfSOaEtoO3NMbzKKa4lgCc1kbRdbMFncnfy6/qQFPALDiXM9R+quCLXRBrR6zTsTsqmdY0QcvMK+XzHSd66oxk6rYYOGGil+pODnZ3ZOdTU+WJQtBiMWppVDyLbapPRz0IIUclJEulBjmaY2XQ4g7gQf25pGk2zmMDzbsQt/puku6w61A7ji9ph5NnsZJgLiAr0RQVmrj/Crs9PMfT2uvwVaOEr/9PU6e5L926B3LzkYULuG4UmD3KGHKdg2M/ojX/gX/A11pzDPBiXwiO17FgdUSRbo/kzIYYgWwcOFPjSqUc0ndQsnkJDsPU0AYdPYOw6H4uhC8kBM0GRERaeTKMo3FAvnF8PZ9C6RghrD6ZxTaSRRlGBzm18FQ3V0NAzuuTSgT0aVmPr8dMVXWQhhBAVTJJID9IyNpg72tfiaGIWqou6kvn5aIkNOdPXcexN9Vn6VyLvffkvT3atx0PXVGezNYfP/TI58EAeA4eGEbhDR/AnsYR3egTTncP4M+I0q/NSebxnTTS+aej8jpOnP0h45N/Y9D8zolYGcXkmfApUlFx/lORwHKfrkhs6lrT6g0BqqLzCDfXCmbT6X0bdUJfv9yZzb+vYy9qvb5MoWQ1GCCGqAEkiqzhFURh4bQ0aRBqZsvpfctceAuC6phEkdvFhAkl0bxfI9e2NhBzQEbhMT+BaPc9lNyToJx2qPRCrvQ6xtm40ydRi91HRFiqghfxmdsx9bJh727Bd53DzkYqyahoTBMBXfyeRkptPl3rhl9ijiKIoaOV3ghBCVHqSRAoAro0L4dP7ryW/0EGezc5DX+zk8w51OOpnY2XeaZYrmdzRIJS2Y/wY9r9djLm7Eaf87OxSLUThw8OaCIJtWnRJGlRfFXukCjJnuFfTahS61A1nwZbj9G0ahZ+PBFQIIcQZsmKNcDL66gg36IkN8adZTBBrD6RxLQGkrkwn5ad0frFk8aI+meoDo/jV14wGGKQJ42lNJMGKFvRQWNuBPUYSyMrihvrhFDpU+jWR5mkhhBAlSU2kKFXfJlEs3n6CyEBfsqw2Xru+AS98to/IGH/614vk9mbV3V1EUQFaxgYzo39T6lczursoQgghPIzURIpSXV83nNMWG+9sOML97eJoERvMHS1iOHnSTNd61S79AqJS0CgKrWuEuLsYQgghPJBX1kRu3bqVoUOHXvD50aNHM2rUqPMeP3LkCH379j3v8Tp16vDTTz+Vaxm9nV6noUejamw9dppejSIBeKBDTa6rG06Iv4+bSyeEEEIId/PKJLJp06Z8+eWX5z3+zjvv8M8//9CvX79S9ztw4AAAn376Kb6+vs7H/fz8XFNQL/dwp1oMaB2LTltUYe2j1dAkOvASewkhhBCiKvDKJNJoNNKqVasSj/3yyy9s2bKFWbNmUadOnVL3279/P7GxsXTo0KECSun9fHVafI0yQkYIIYQQ56sUfSLz8vJ47bXX6NatG717977gdvv376dx48YVWDIhhBBCiMrJK2siz/XJJ5+QmprKokWLLrrdgQMHqFevHgMGDGDfvn0EBQVxxx138OSTT+Ljc+F+fopSMYusFL+HLOji2SRO3kHi5B0kTt5B4uQdyiNOZdnX65PIgoICFi9eTN++falVq9YFt0tPTyc9PR1FUXjuueeoXr06W7Zs4aOPPuLUqVO89dZbF9y3TvUQDAaDK4p/wfcTnk/i5B0kTt5B4uQdJE7e4WriZDZf/uBZr08if/rpJ9LT03n44Ycvup3RaGThwoXUqVOHmJgYANq3b49er+edd97hscceo169eqXuG5+URUCArdzLfi5FKQp8fJLr1s4WV0/i5B0kTt5B4uQdJE7eoTziZLGYL3tbr08iV69ezTXXXEOjRo0uup2fnx/XXXfdeY9369aNd955x9nUXRpVpUJPmop+P3FlJE7eQeLkHSRO3kHi5B2uJk5l2c+rB9bYbDY2b9580cE0xY4ePcoXX3yByWQq8XheXh4AoaGhLimjEEIIIURl5NVJ5MGDB7FarVx77bWX3DYlJYWJEyeeN6n4Dz/8gMFgoGnTpq4qphBCCCFEpePVzdkHDx4EKLUZ2mQycfjwYWrWrElYWBjt27enffv2vPHGG1itVurWrcuGDRtYvHgxY8eOJTg4uKKLL4QQQgjhtby6JjI9PR2g1ARw7969DBgwgA0bNgCg1Wp5//33ufPOO1m4cCEjRozg999/Z9KkSTz44IMVWWwhhBBCCK+nqKp0kS2N2WzGaDQCsPvfkwQEuH6KH0WBurEhHE2U0W+eTOLkHSRO3kHi5B0kTt6hPOJksZhp0bAGUNSqe7EpDr26OduV7Ha78+/09DQCAiwuf09FAaNPAenp2XKSejCJk3eQOHkHiZN3kDh5h/KI09lT/JydC5WmSieRo0aNYt++faxbt+68506cOOH8u3vn1hVZLCGEEEIItztx4sRFBx57dZ/Iq/Htt9+yZs0adxdDCCGEEMIruaUmcseOHYSFhVG3bl0APvvsMz7//HOSkpKIjY1l8ODBDBw40GXvn5KSwpQpU4iOjr7gNnFxcc6//9h5kICAAJeVp5isCOAdJE7eQeLkHSRO3kHi5B3KZ8UaCx1bNwBK5kKlcUsSOXHiRF566SXq1q3LZ599xowZMxg6dCh169YlPj6et956C4fDweDBg13y/i+99BKdO3fG19eXbdu2lbqNVqt1/h0QEFBhA2sMBgMBATY5ST2YxMk7SJy8g8TJO0icvEN5x+nsXKg0bkkiExISnNnt8uXLefnll7njjjuczzds2JBZs2a5JIlcvnw5e/fuZdWqVUyfPv2y9lGUov9crfg9KuK9xJWTOHkHiZN3kDh5B4mTdyiPOJVlX7ckkQaDgdOnTxMbG0tqaiqNGzcu8XzTpk05depUub9vYmIiU6dOZerUqYSFhV32fnWqh1x0iHt5q1M9pMLeS1w5iZN3kDh5B4mTd5A4eYeriZPZ7HPZ27oliezatSufffYZU6dOpUOHDvz44480atTI+fwPP/xA7dq1y/U9VVVl/PjxdO3alV69epVp3/ikLAICbOVantJInxPvIHHyDhIn7yBx8g4SJ+9QPn0izZfe6D9uSSKfffZZBg4cyKBBg2jZsiWffPIJ27dvp169esTHx7Nr1y7mzJlTru/52Wef8e+///Ldd99RWFgIFCWWAIWFhWg0GjSa0gerqyoVetJU9PuJKyNx8g4SJ+8gcfIOEifvcDVxKst+bkkiq1WrxooVK/joo49Yu3Ytqqqye/dukpOTad26NV988QXNmzcv1/dcvXo1p0+f5vrrrz/vuaZNmzJq1ChGjx5dru8phBBCCFFZuW2y8cDAQJ555hmeeeaZCnm/V199FbO5ZBXtnDlz2LNnD3PnziUyMrJCyiGEEEIIURl41Io1VquVv//+m2PHjpGTk4OiKAQGBlK7dm1atWqFn5/fFb928ZyUZwsJCUGv15d7racQQgghRGXnEUlkdnY2b7/9Nt9++y15eXmlbuPn50f//v156qmnCA4OruASCiGEEK43ZN56Msx5hBv8WPLoje4ujhAX5fYkMicnh4EDB3L06FH8/f257rrrqF27NkajEQCTycSxY8f466+/+OKLL9i6dStLly4lKCjoqt/7jTfeuOrXEEIIIcpLhjmPAn0QGeYcdxdFiEtyexL53nvvcfToUYYNG8bo0aMvOB+j2Wxm9uzZLFq0iDlz5vDCCy9UcEmFEEIIIUSx0ue0qUC//PILHTt2ZNy4cRed0NtgMPDCCy/Qvn171qxZU4ElFEIIIYQQ53J7EpmWlkaLFi0ue/tWrVqRlpbmwhIJIYQQQohLcXsSGRISQnx8/GVvf+TIEUJCQlxXICGEEEIIcUluTyKvv/56fvnlFz777LNLbrtkyRLWrVtHly5dKqBkQgghhBDiQtw+sOapp55i48aNvPbaa3zyySd07tz5vNHZ8fHxbN68mcTERMLDw3nyySfdXGohhBBCiKrN7UlkVFQUX375JRMnTmTz5s0sXboURVFKbFO8xnXnzp2ZOHEiUVFR7iiqEEIIIYT4j9uTSIC4uDgWLFjAiRMn+OOPP4iPj8dkMgFgNBqpU6cOHTt2JC4uzs0lFUIIIYQQ4CFJZLG4uDhJFIUQQgghvIDbB9YIIYQQQgjvI0mkEEIIIYQoM69LIqdNm8bNN9/s7mIIIYQQQlRpXpdEZmVlkZiY6O5iCCGEEEJUaV6XRAohhBBCCPdz++jssWPHlmn7nTt3uqgkQgghhBDicrk9iVy5ciWKojgnFL8c505GLoQQQgghKpbbk0iDwUB0dDSvvPLKZW3/4YcfsnnzZheXSgghhBBCXIzbk8hGjRpx4MAB2rdvf1nbr1ixwsUlEkIIIYQQl+L2gTWNGzfGYrGQkJDg7qIIIYQQQojL5PaayHbt2rFjxw6Sk5OpWbPmJbe/6aabiI2NrYCSCSGuxpB568kw5xFu8GPJoze6uzhCCCHKmduTyF69etGrV6/L3v7mm2+WycaF8AIZ5jwK9EFkmHPcXRQhhBAu4PbmbCGEEEII4X0kiRRCCCGEEGUmSaQQQgghhCgzSSKFEEIIIUSZuX1gjRBViYxYFkIIUVlITaQQFejMiOU8dxdFCCGEuCqSRAohhBBCiDKT5mwhKglpKhdCCFGRpCZSiEpCmsqFEEJUJKmJFOIcQ+atB5DaPCEuQGq9hRAgSaQQ55GaPCEuTpa0FEKANGcL4RJD5q131mgKIYQQlZHH1kTm5+dz4MABUlNTadGiBaGhoej1encXS4jLIrWZQgghKjuPSyKzs7OZMWMGq1atIi+v6Eb83nvvkZuby4IFC5gyZQotWrRwcymFEEIIIao2j0ois7OzGThwIPHx8aiqCoCiKAAcPnyYQ4cO8eCDD7J06VLq16/vzqIKIYQQ4irIAC3v51F9IufOncvRo0fRarUMHTq0xHMGgwFFUTCbzcydO9dNJRQVYci89fSZ+aP0KRRCiEpMpiXzfh6VRK5ZswZFUXjwwQcZP358iedGjhzJww8/jKqq/Pnnn24qoagIcmERQogrJz/ERUXxqCQyNTUVgEaNGpX6fIMGDQDIzMyssDIJIYQQ3kR+iIuK4lFJZGhoKAD//PNPqc+vWbMGgIiIiAorkxBCCCGEO3j6dHEeNbCmW7duLFu2jE8//RSz2ex8/Mcff2TJkiVs2bIFRVG44YYb3FhKIYQQQgjX8/TaZI+qiXzyySeJjo7GbrezfPly58js77//nj/++AOAsLAwHnvsMXcWUwghhBCiyvOoJDI8PJwvv/ySbt26AaCqaon/OnbsyOeff05kZKR7CyqEcBtPb94RQoiqwqOaswGioqL44IMPSE9PZ+/evWRnZ2MwGGjcuDHVq1e/qtdWVZVly5axZMkSTp48SVhYGN27d+fJJ5/EaDSW0xEIIVzJ05t3hBCiqvC4JLJYREQEXbt2LdfXnD9/Pm+//TYPPfQQnTp14vjx48yaNYtDhw6xcOFCZ/O5EEII4U55Njt9Zv4oE3ELj+ZxSaTJZGLDhg0kJyeTn5/vXLnmXKNGjSrT6zocDj788EMGDBjAs88+C8B1111HSEgITz31FHv27KF58+ZXXX4hRNl52soVnlYeUfWoKv9N05Pj7qIIcUEelUQePHiQ4cOHX9Y8kGVNIk0mE7fddht9+/Yt8XidOnUAOHHihCSRQrjJmXntSt4w3ZXMXag8QlR28gNKlIVHJZGvv/46GRkZl9zuSpqdg4KCmDBhwnmP//zzzwBcc801F3m/ov9crfg9pFX9jIr8LAafM1jjQu9dljgN+XA9GaY8wo1+fHbOBdmVx+Zp36GylOfsbc9O5s59jUu9ZnmdT+X1WQ6ed+HvgjtdbbnK6/P1tO+sJ7maz6as+17onHN1nCT+F3e5n095xKks+3pUEvn333+jKAoxMTE89NBDVKtWDY3GdQPI//rrLz766CNuvvnmiyaRdaqHYDAYXFaO0t6vKiv+kaAoCnVjQyrsfTPN+SXe/1LvfbE4Fb9GpjmfAn0QmeZc6saGuPTY3PW5XUhZynOhbUt7/HLjU+xKzidXfJbnfhc8xZWUyxWfT1W/7hU7t5LkSj7jq4nPpfYtzzh52jXLE5X1elfsauJkNvtc9rYelUQGBASQl5fHE088Qf/+/V36Xjt27GDEiBHUrFmTKVOmXHTb+KQsAgJsLi0PFGX/daqHEJ+UxQW6glYJxf1gVVXlaGJWhb9vsQu99+XE6dzXKj4WVx6buz63CylLeS60bWmPFz92qde8mvPJFZ+lp8Wn2JWUqzyPRa57JV3o2nElr1Ge+7oiTp56TniSy73eFSuPOFks5ktv9B+PSiJvueUWFi1axL///uvS9/n+++8ZN24cderUYcGCBYSEhFx0e1WlQi9uFf1+nsydn8Ol3ruscTp3W1cem6d9f67mc7rQ45f7mld7Prnis/S0+BS7knKVX0LhuZ+Lu7nr+1vavq6Kk8T+4sr+Q/jKP9Oy7OdRSeTTTz/Nvn37+OSTT0hPT6d9+/YEBwej1WrP2/amm266oveYP38+M2bMoF27drz//vsEBgZebbGFEEII4QIy0MezeVQSaTabsVqtqKrKqlWrWLVqVanbKYrCvn37yvz6S5cu5c0336RPnz5Mnz4dvV5/tUUWQgghhIvITAmezaOSyEmTJrFnzx4URbng/JBXKi0tjalTpxIbG8uQIUPOS0Jr1qxJWFhYub6nEOVBfokLIeQ6IDyRRyWRmzZtQlEU9Ho9t912G+Hh4eh05VPEjRs3kpeXR2JiIoMHDz7v+alTp3LnnXeWy3uJysFTLtryS1wIIdcB4Yk8KoksThife+457r///nJ97bvvvpu77767XF9TeL+zE8VzyUW7dJ6SXHsa+VyEEFWNRyWRN910EytWrMBut7u7KMJFPO1GK4li2clnVtKQ/yapl89FCFHVeFQSOWbMGHbu3Mn7779PWFgYbdq0ITAwsNTR2Uaj0Q0lFFdLbrSisskw57m7CEKUuzybnT4zf/SYH/zCM3lUEjl48GAsFgs5OTk8//zzF9zuSkdnCyFERSuufc+z2dHIhBDCS6gq8oNfXJJHJZFHjx51LvFT3qOzhRCe52oSrOJmZE+vJSmufVcLTru7KJfNWz5bISoDT+vmVRYelUS2a9fO3UWodLz5yylKV5liejUJljQju05V/mwr0/klvIM3d/PyqCRy8eLF7i5CpePNX05ROompEK5T0eeXJK3Cm3lUEimqFmkyExci/QhFefPU601x0pqYdZo+M3+U7/xV8NQYV2YelUTecccdl7Wdoih8/fXXLi6NcLWq3GQmLq6i+hFWhZuO1HQV8fTrTfFAFm/qO+tpPD3GlZFHJZH79+93Dqy5EFVVL7mNEEJcjqpw05HuD0IIV/GoJBIuPipbURRq166NwWCowBIJIYS4HFLrKcTVu9hKap7Go5LIAwcOnPeY3W7HbDazd+9eXnzxRXx8fFi0aJEbSicqA7nJCeE6Uuvp2eT65x286TzSuLsAl6LVagkKCqJTp0688MILHDp0iFmzZrm7WMIFhsxb7+xY7ipnTs7Lb8YsXrmhuP/cxQyZt/6ythNCeC9vPc+v5PonxMV4VE3kpYSGhgLw008/8eKLL7q5NKK8eeqkzGVZuaEiL87etCzZ1Q5gOftYhSgPV1Mr547z3FNGbQ+et54Mk9RmiiIelUSW1pwNYLPZSE1NddZAmkymiiyWEB7Jm5Ylu9qbrjcdqyidpzWlekuToaeN2s4wecfnJiqGRyWR/fv3v+TIa0VRaNasWQWVSIiqwdNu8FVBVfvMPTVp86Ya/UupDPOrVoVptyoTj0oi4dJrZgcEBDBmzJgKKo0Ql+ZNI+kuxFNv8J7savvEXewzrwwJprckA5WplvtKugS5I04XS3alv6Z38agk8mKTjQcEBBAXF0efPn2IioqqwFIJcXGXk4B5Wr8mcfVcebPz1KS+LDVd3pYMeNM5Wp6Jnzvi5Kn93z2Zp/4o86gkcurUqe4ughAu4Wn9moRn8vQRv55y83dFTa03naPelqCXp8pQS38lPDXmHpVECuHJnH2njH5smXR5S3R6usrQh6oiubrrgqfeKDzNhWpqq2qCUZXOY0+tpa+q3JpEXmg09uVo1KhROZZEiEtz9p0yVZ6Ll6fULF2NikwcytJ1oSolMq5KYs5twrvU+1TVBMNTz+OqlNRXpWM9m1uTyMsZjV0aRVHYt2+fC0okRMWqqhee8uTKxOFKEsIrGahRHs3Y7ugzVaIfoSG03JOYc2tmPTVZuhKe3nWh2NW0wFzNuelttatV9QeM25uzLzUaWwhPVTzp7tVc5LzhwuOpHbrL6koS9ooauVsezdjl8RoXSmwudEP3pn6ExTwlOXFlvMqTu1pgKtMPhsrMrUnkxUZjC1Gs+KJvK3Tgo9N4TK1d8aS75X2RK+uNwdWjSitLPz1vSNjP5cqm8dKSqQvFujLd0CvbsVwOT0mcq7rK2PLk1iRSRmN7B3d/8Ysv+vaC06helgRcibImbd5YGyQujytrQitTMnUxFdls7O5r5bnK0t2gIj6niyWzl3p/b5qC6UK88Yfspbi9OftCUlJS+PPPP8nOziYsLIxrr72WiIgIdxerSirti19ZmjiFqCqq4oAfqNiadE9LEsryA7O8m9dLSxYv9sPlUu9/7rFU1e+zp/G4JNJisTBp0iS+++47HA6H83GtVsudd97J+PHj8fPz3pVBKovK0sTpLpXhV7XwLp6yMktVuvl7Ws3k1ciz2Wn47NKLXrPOvi+4upbbXd/nyhTT8uBRSWRBQQHDhw9n9+7d5w24KSwsZPny5cTHx7Nw4UJ0Oo8qurgK3jJKsTxV1SZoqcH2Lq7oS+cpyezlupyk4UKfk6fVTF4NVYV8n0DUfM+/Zl3qOnNuTMuSGFammJYHj8rEFi9ezN9//w1A9erVuf3224mKiiIlJYVvv/2WpKQkduzYwWeffcYDDzzg5tIKuPykQNZKdQ9PS9ok1t5VC10R/SYHz1tPpjmfMIMvSx7xjO/p2S4naagq/Uu9xaWuM+fGtDwTw6pU0w4elkR+9913ADRp0oTPP/+8RLP1iBEjGDhwIPv27eObb76RJNJDXG5S4K6L7IV+YV7NjfxymnVc4UrKLElb2VTEKNaKqoX2lhG5xbMcVKZJ/L3ph0J58JbWpKs5Jy5339Jq2i/38/HG741HJZHHjh1DURQGDhx4Xr9HX19fBg4cyIQJEzh27Jh7CujlPK1WqiJc6Bfm1dzI3dWsc7llPvuXcFVyNTUAJW4Q5TRptrtvCJ5SO1bWBMPVS0tWhKrWXcWdP1bLcr27mnPi3H3Lcr253M/HG783HpVE+vr6kp+fj8ViKfV5q9UKgF7vJSm6h3Hlie4pnY09pRxlVZ6J39X0OSsux9lzcnqLqzluVyRcrrgheOP3+3KvO+dOR+PuPmel/Qjwlhq3iuApP1bd1cfW2/r2uopHJZENGjRg+/btLFiwgJtvvpnY2Fjnc0lJSSxYsABFUWTd7KtUHv0Yz+WuzsbnHou3dnr2lAtScTmuZk7Oy/neeEtTq6cpj++3u2tIL+RiSbc7krfSyiPdQ87wlGuWcC+PSiLvvvtutm/fTlpaGn379uW6665zDqz5/fffyc/PR1EU7rzzTncX1atVRD/G8qgxuZybXfGxSA3B5Tl39Z+yJBKX+xlfzvfGlU2tV7PWb1XgjU1mF7pmnVtz7mmJsSeTa6YoDx6VRN5+++2sW7eO1atXk5+fz4YNG5zPFU/5c+ONN3L77be7qYTicpVHjUlFT5RbmRXfMM5d/acsiYS3fMaXs9av3EDdrzxqRM+tOXfXwD1vTF4r8nx2V+33pVrdzi3XlfSrvtixXeg6U5l+/HhUEgnwzjvv8Mknn7Bo0SKSk5Odj0dERDBw4EBGjBjhxtJVLt7Yv0pcGVfcMLxlKovB89aTYbq8NaJFxfHGGtFzecrgJU/nrliXdRWcs5voL7fb18WO7ULv7+4fP+XJrUnkiRMniIuLK/GYoigMHz6cYcOGcfz4cbKysggPDyc2NhaNRuOmknqe8kgAiy+AiVmnXZYMuOIXqKd06K7qii+Ervz+lIfiKWS8+UJ9ofOotJHMUssqxNWTrlKXx61JZM+ePWnWrBl9+/alT58+REdHO59TFIXatWu7r3AerjwHkLiyg7QrfoFeSXk9dTBBZSAd7F3vQudRadcBqWX1PN5Say/OJ+fTxbk1iVRVlT179rBnzx7efPNNWrZsSb9+/ejduzcRERHuLJpbFTe/nX3BuVDVulycLk9laDrzdJKoVxz5rL2L/NASlZVbk8iIiAjS09OBooRy165d7Nq1i6lTp9K2bVv69u1Lr169CAkJcWcxK1xx89vZzYSX6ltx7sXJmzt8C+8kiXrFkc/ae0nzaMWT+6HruDWJ3LRpE7t27WLNmjX88ssvHD9+HAC73c62bdvYtm0bkydPpmPHjvTr148ePXpgNBrdWWSXKl5DtviLfiW/Xl2x8oYQ3shdy1MKcTHSPFrxZACU67h9dHarVq1o1aoVY8aM4fDhw86Ecu/evQAUFhayefNmNm/ezCuvvML1119Pv3796Nevn5tLXv6cAwAuspzepaYMuJrkUZrGRWXiruUphRCiqnB7Enm2+vXrU79+fUaOHElycjI///wza9euZceOHdjtdgoKCli3bh3r16+vlEnk5bhUs/bV/NI6d7TtuTU4lzMqWvpqCSGEEFWDx86ZEx0dzdChQ3n66ae57bbbgKIR28L1nAmpWvrjF2uOudC+QgghhKhcPKomstiOHTtYvXo1a9asISUlBShKIItXrdFqte4snhBCCCFElecRSaTD4WDr1q38/PPPrFmzhoyMDOdzxYmjRqOhXbt29OvXj549e7qrqEIIIYQQAjcnkb/99hurV69m7dq1ZGVlOR8vThwVRaF169bOycgrcu5I9az2WIvFUiHv6bDl4UCPw5aHUpBX4v+lbn+BbS/0//J4DU8rz8Vew2IxX/Qz9cZjqoxxOnfbS8XNXcd0brmqepw8vTwWi7lo+1Jex1uPydWv4WnlkWM6/zWKv9cXoihgNvtgsZivuFvZ2TmPeokXUdRLbeFCjRo1KtFMXaxp06b069ePPn36EBMT45aypaamEhUV5Zb3FkIIIYRwt5SUFCIjIy/4vNubs4sTyAYNGtC3b1/69et33nraQgghhBDCs7g1iaxTpw59+/alb9++1KtXz51FOU9ERIRzUE9AQICMDBdCCCFEpaeqqrNJ+1LdCN3anC2EEEIIIbyTx84TKYQQQgghPJckkUIIIYQQoswkiRRCCCGEEGUmSaQQQgghhCgzSSKF8AIOh8PdRRBlIOMVPZvdbnd3EYSoFCSJrGJsNhvx8fEcPHiQ1NRUQBIUT2W1Wlm8eDE5OTloNBqJk4ey2WykpKRw6NAhkpKSAGRKMA9ktVqZMWMGGRkZaLVaOZ88lM1m4+jRo+zbt49Tp065uzjiEtw+2bioOCaTidGjR3Pq1ClSUlKIjY3lpZdeomPHju4umijFnDlzmD9/Punp6Tz00EMEBQXhcDjQaOS3n6cwmUw88cQT5ObmcvjwYYKCgujRowePPPLIRVd5EBVv6dKlzJ8/n5SUFF544QXCwsLkfPIwJpOJkSNHkpaWxrFjx2jSpAlDhgzhzjvvdHfRxAXI2VNF5Ofn88ADD6CqKs888wxjx44lMDCQ8ePHk5KSIs1vHqhdu3ZotVpWr17NvHnzpEbSw+Tl5TF48GDsdjtPP/00CxYsYPjw4SxfvpxXXnmF3bt3u7uI4iwdOnTAaDSybds2Xn31VTIyMuR88iAFBQU8+OCDaDQannvuOaZPn47BYGD+/PmcOHFC7lEeSmoiq4g//viD3NxcXnrpJVq3bu18/K233sLf31+a3zxQZGQker0ejUbDt99+i0aj4ZFHHiEwMBBVVSVmbvbDDz+QlZXFq6++SqtWrQBo2rQpaWlpLFiwAIDnnnvO41bjqqqMRiN2u52oqCj279/Pa6+9xksvvUR4eLi7iyaAbdu2cfr0acaNG0ebNm2Aor6rL7/8Mj4+Pm4unbgQqYmsInJzc0lISMDf39/5WKNGjTAajUyYMIFBgwYxd+5cDh8+7MZSimKqqhIbG0uLFi2YMmUKXbp0YdmyZXzwwQfk5+ejKAqZmZnuLmaVlpiYiNVqJSoqCijqW+zr60tUVBRt2rRhx44dvP322zKIwwOoqkrNmjXp1KkTDz74ILfddhvbt29n0qRJmEwmAOLj491cyqrNarWSlJREYWGh87F69eoRGRnJpEmTGDp0KNOmTSMhIcGNpRTnkiSykituAoiIiKBatWp8+umn/P333xw7dowXX3wRPz8/7HY7NWrUYNasWbz11lvSmdkDKIpCUFAQNpuNv/76i6lTp9KuXTtWrFjBRx99xIgRI/jwww/Jz893d1GrrMDAQKxWK6dPnwZw9q07fPgw1113Ha+++ipr16511koK9zi31n779u2MGjWKvn37smvXLiZNmsSIESOYN28eubm5bixp1RYSEkJAQAArV65k06ZNHD9+nHHjxqHT6fD396dmzZosWbKEV155RX5AexBpzq7kii+eHTt25KabbmLTpk189913hISEEBISwpw5c6hVqxYajYZu3brxzDPPcMcddxATE+Pmkldt+fn5+Pr60rBhQw4cOADAe++9x3PPPceCBQuw2WwMHDgQX19fGRzgJjfddBNffvklo0aN4rXXXkNRFNatW8c333zDihUrqFu3LmvXrmXFihXcdddd0mxaQVRVxeFwYLfb0ev1KIriPJ+uvfZatm7dCsD48eMJCAhg0aJFFBQU8O677xIYGCjnk5u0a9eO+++/n2XLlvH9999jMBgICwtjzpw51KlTB4BevXoxcuRI1qxZw4ABA9xcYgGSRFZKFouFJUuWcPz4cWrVqkW9evW46aabmDhxIvHx8WRnZ/PGG2/QpUsX58kJ0KVLF0JCQjh48CA9e/Z04xFUHRaLhQ8//JCjR49iMBho2bIl9913H76+vkBR8v/uu+9isVgICAhAVVXsdjsGg4GdO3fSpk0bAgMD3XwUlZ/FYuHLL7/k1KlT1KhRg9atW9O8eXPGjx/PzJkzefDBB/H398dgMPD+++87+0F27dqVn376iZycHEkiK4DZbGbWrFkcPHgQrVZL8+bNeeqpp5znU8uWLVm4cCFpaWlUq1bNOWAjODiYH374gZYtW0qcKoDFYmHBggWcPHmS6OhoGjduTO/evXniiSfo3bs3Wq2WF154gU6dOpW4RzVr1ozQ0FCSk5PdWHpxNkkiKxmz2cw999xDYWEhfn5+bN26ldTUVO655x7GjBlDnTp1OHXqFPv376d3794l9k1MTCQkJIRGjRq5qfRVi9ls5r777kOj0RAdHU18fDzr168nISGBsWPHAkVNPDk5Oeh0OsaPH8+WLVv45JNP+Oyzz5g3bx46nY7HHntMak5cqPicysvLw8/Pj1OnThEREUHv3r159tln6dKlCxs2bCAsLIyaNWsSEhLi3NfhcBAZGUlAQID7DqCKKD6f/Pz8qF+/Punp6SxcuJATJ07w1ltvARAaGoper0er1fLSSy+xZcsWPv74Y9avX8+nn36KXq9n8uTJaLVaNx9N5WU2m7n77rux2+2EhYWxbds2li9fzqpVq3jvvfdo0KABqampJe5RxV0SMjMzCQ0N5ZprrinxuHAfSSIrEVVVeeeddwgMDOT111+nXr16nDhxglWrVjF37lwyMjJ4+eWXiYmJoXHjxnzzzTf06NGDatWqkZmZyZIlS9BoNDRv3tzdh1LpFY86jIiIYNKkScTFxZGZmclLL73Ejz/+yKBBg5w1XtHR0fTp0weLxcK7775LmzZtaNOmDXq9nn79+kkC6UIOh4OpU6cSGhrKa6+9Rp06dThx4gQffvghS5YsIT4+nvfee49u3boBkJKSwr59+4iJiUFVVbZu3Up0dDQGg8G9B1LJORwO3njjDcLCwpgyZQo1atTAYrEwc+ZMvvrqK3bu3Enr1q2pV68e1atXp1evXuh0uhLnk06n4/bbb5cE0oVUVeXdd98lODiYadOmUatWLU6fPs3y5cuZN28eQ4YMYe7cuURGRtKuXTsWLVpEz549iY6OJjU1lY8//pj8/Hzn6G1JIN1P7j6ViKIoHD16lOrVqzub0+Li4hg6dCiTJ09m48aNTJw4EavVyqhRo0hPT2fAgAHce++9jB49mnXr1jFz5kznaFPhOsWrMrRr147Y2FgAwsLCuP/++zl16hRHjx4FigZrqKqKyWTigw8+oG3bts557aZOnVqiqUeUP41Gw/Hjx6ldu7bzs46Li+Ppp5/m0Ucf5bfffmP06NHO7bds2cK9997LgAEDePjhh/n111+ZOHEiRqPRXYdQJWg0Gg4dOkSDBg2c51NAQAB33303VquV48ePA2dqhsPCwpg7d26J8+nJJ5+kdu3a7jqEKkFRFBISEggJCaFWrVpAUe3w4MGDmThxIkePHmXEiBGoqsqjjz6KXq+nf//+3HHHHTz22GP8+uuvzJ49m+joaDcfiSgmNZGVRHFfuYCAAGw2GzabDa1Wi0ajwWAw0LdvXwAmTJjA7Nmzef7551myZAlLlizBYrFQq1Yt+vTpQ82aNd18JFWDyWTiyJEj9O/f3znhsUajITIyEp1OR1ZWFgA6nY4lS5Zw7NgxGjZsCCA1jxXE4XBQUFCAxWJxfuaFhYVoNBrCwsIYNGgQAPPnz+f1119n/Pjx9O/fH6vVSkZGBr6+vvTq1UvOKRdTVRWz2czJkydp27YtiqJgt9udcQoODnYu8arRaHjjjTdITEx0/iiQ86liOBwO53WueNoru92OoigYDAZ69OgBwCuvvMKYMWOYMWMG8+bN44cffiAlJYU6derQo0cP4uLi3HkY4hySRFYSiqKg0+lo27Yt06dPZ8eOHXTq1InCwkJ0Oh0+Pj707NmT1NRUZs+eTZs2bejRowcvvfSSu4teJUVERHDzzTfzyy+/0K9fPyIiIgDQ6/XAmfXMCwsLnaO0oeiiK81tFUOj0eDn58ett97KG2+8wS233EKHDh2co3+DgoK49957SU1N5ddff+XGG2+kU6dODBw40N1Fr1IURcFoNHLrrbeyadMm7r//fmdrilarRVEU5/lks9nQ6/XOBLL4+ihcT6PRoNFo6Nu3L8888wyrV6+mV69ezuTSz8+Pm266yTlZ//fff0+/fv0YNWqUu4suLkJ+glUSxfNBDhw4kI4dO/Lss89y4sQJdDqdc/JWf39/+vTpQ506ddizZ0+J/WRJqYo3bNgwHn74YWcCCUXJY3FtFxTVRJrNZn744QcASSDdoGvXrlx77bVMmTKFPXv2oCiKMzEJCwvjwQcfJCsri127dpXYT86pijVo0CDGjh1bojtOYWEhVqvVOTrbx8cHk8nEl19+CSAJpBt06dKFnj178sILL7B161bntc7hcBAQEED//v0JCQlh586dJfaT88kzSRJZSRR3MNbr9Tz66KOEhoYyaNAgEhMT0el0zuaDGjVqEBoayr///ltiZJt0UK44xRfDFi1a0LVrV+BMzWNOTg6Ac4SvyWRi2rRpPP/88zKthZvUqVOH++67D5vNxtSpU9m7d2+J2q0aNWpQr149Dh06VGI/OacqVlxcHNdddx1w5nyyWq3YbDaCgoKAovNp+vTpvPLKK5w8edJtZa3KAgMDGTx4MA0aNGDcuHFs27atxBrmYWFh1KlTh/j4+BLrmsv55JkkiayE2rZtyzPPPIPBYODee+/lr7/+cp6AKSkp5OXlUbduXTeXsuo692J49uTGxSsxREREYLPZeOONN1i5ciVffvmldCZ3g+KE/9Zbb2XIkCGkp6czYcIEduzY4azFSk9Px2q1Sl8tD1J8PmVkZDgH09jtdqZOncp3333H119/TY0aNdxcyqqn+Hzq0KGDsxVm1KhRrFu3znk+ZWRkkJGRQe3atSVx9AJSl1/JFBQUoNfr6dy5M3q9nvnz5/PAAw9w6623otfrSU5O5tixY7z++utygrpZaf0bi/996tQpli1bxnfffccXX3xBkyZN3FHEKk9RFOc5NXjwYGrUqMHs2bMZNmwYw4YNQ1EUjh8/TlJSEv3793d3cauEs1tQzv67+HwqjhfgbMZOTk7m9ddfZ9WqVXI+VZDS4nT2+XTzzTcTHBzM/Pnzeeyxx+jXrx96vZ7Tp09z5MgR5ypQwrNJTWQlUrzM15EjR3jyySeJi4vj3XffZeTIkRw5csTZbLB48WLnFEDCPYpveEePHuWuu+5yrtkbEBCATqfjnXfe4ZtvvuHzzz+XG54bFZ9Thw8f5p577qFTp05MmTKFRx99lFWrVrF69WpycnJYtGiRTLdUARwOhzOxsNls5yWQxedTQkICUJREBgQEMHv2bL7++ms5nyrIxeJUfI/q378/NWrUYMqUKUyePJmEhAQOHDjgnJFC7lHeQWoivUxptVfF0/vodDoSEhIYPHgwzZs3JyoqCn9/fx577DHuv/9+5zrLfn5+bip91XKxkdRarZaEhATuv/9+Gjdu7LzIVqtWDY1GQ2pqKl9++aVzVLZwncuJ0wMPPEDDhg1xOBw0atSIRo0aMXToUPz9/SksLJQVaSpIcTP166+/jl6v57nnnnOOsC4+n5o2bUpYWBiqqlKtWjUiIyM5ffo0S5culfOpglwqTkOHDqVx48YEBwcTEBDAPffcQ9++fTEYDM51zoV3kCTSi5x9s1u3bh15eXnUqFGDFi1aoNPpOHnyJD179uSWW25h4sSJ+Pv7O/c1Go3SNFCBzo7Vhx9+SHx8PGazme7du9O/f38SExO55ZZb6NGjB6+++qpzMuq4uDhGjhzJzTff7FzaS7hOWeNU/ANMVVWCgoJQFMXZdCoqRmFhIX///XeJGQwSExPp06cPvXv3LnE+hYSEMHz4cNq1ayf9wCvY5cTp7B9fxX/L+eRdFFXGzXuFs/uXPPHEE2zatIn8/HxUVWXChAkMHDiQjRs3smHDBp5++mnnaEThXk8++SS7du2iVatWzqa2YcOG8dlnn3H8+HEef/xxgoODAZmzzp3KEifhPsVJ/+7duxk0aBAvvfQS9913H+vXr+fPP//k0UcfJTAwsMS2ouKVJU7Cu0kS6QXOvhh+8sknfP7557z88svk5+ezZs0avvnmGyZMmMDgwYMlEfEgy5cvZ+7cubz11lu0bt26xHPp6ekYDIYStcXCPSROnutC3XdOnz7NuHHj0Gq1zJw507k6l1z73EPiVHXJwBovUHxy/vHHH+zZs4f+/fvTuXNnbrrpJh5//HHuueceJk+ezJIlS+Tk9CDx8fEEBgY6O4gX/14zmUysWbOG9957TybQ9QASJ89VfO1bsGABP/74I1A0Yj4sLIxbbrmFjRs3smvXLvR6vdQ6upHEqeqSJNJLfPPNNzz00ENs3LiR6tWrO5u24+LiePTRR7n33nt57bXX+Oyzz9xcUlE8QW5iYiKAs2tBcSJiNBr5888/2bx5s3sKKACJk7fYvn078+bN45lnnuHxxx9n1apV2O12brvtNm688Ubef/99srOzpc+3m0mcqiZJIj3UuTUf/fv354EHHiA3N5evvvqKEydOOJ+rUaMGjzzyCPfddx+TJ09m2bJlFV3cKu3sVRXgzMjEW265hX///ZdFixY5Hy+Oa4MGDYCiFTVExZA4eYdz49SuXTu+/vprZs2aRXx8PG+99RYDBw5k27ZtNGzYELPZzPHjx0vdV7iOxEmAjM72SGf3LzGbzRQWFhIcHMzYsWNRVZXly5czb948Ro4cSWxsLFCUSD700EP4+vrSpk0bdxa/Sjk7VocOHSI9PZ3o6GiCg4Pp3r07PXv25J133sHHx4dBgwahKApZWVns2bOHuLg46X5QQSRO3uHsOO3bt4+kpCRCQkKoXr06PXv2pF27dmzevJkvv/ySsWPH0qRJE/bt28fixYt58803nT8MhGtJnEQxGVjjYc4+OWfMmMG2bdvw9fWlZ8+e3H///QC89tprrFy5kp49e5ZIJEFG+Faks5crHDNmDDt27CA5ORl/f3/q1KnDq6++SmhoKJMnT2bDhg307NkTg8FARkYGu3btYsmSJc6aLuE6EifvcHacxo4dy7Zt20hOTkar1RISEsIrr7xCz549ndt/9dVXHDp0iE8++YSIiAi+//57GUFfASRO4mySRHqQs6fxGT16NDt27KB169bOpQofe+wxHn74YeBMItm7d2/+7//+T9btdaNXXnmF3377jWeeeYamTZty5MgRZsyYwbFjx9i8eTN5eXmsXbuW//3vf/j6+lKrVi1GjBhB/fr13V30KkXi5B1effVVNm3axJNPPknr1q3ZtWsXX3/9NVu2bOHtt9+mV69eJbbft28fBoOBWrVquanEVZPESQCgCo9gt9udf8+cOVPt2bOn+ueff6qqqqrr1q1Tb7jhBrV169bq3LlzndtNmTJFbdiwoTp58mTVZrNVeJmFqqampqp9+vRRFy1apObl5amqqqonTpxQ27Rpo06ePFn9+++/1aSkJFVVVbWgoKDE/0XFkTh5nrOvecWSkpLUPn36qEuXLi3x+R88eFAdOXKk2qJFC/XAgQPOxx0OR4WUtSqTOImLkY4JbpSXl8eOHTuAos78DocDm83GP//8Q79+/WjVqhUFBQUcOXKE2rVr07JlS+bNm8fHH38MwPjx43n00UcZNGiQNGFXsOKO4RkZGRw9epTatWvj6+vL4cOHueuuu+jcuTOPPPIIixYt4tNPPyU/P7/Eyg2iYkicPFN+fj6DBw9m/fr1JR5PSUnh6NGjNGvWDB8fH2w2GwDXXHMNAwcOBHBeMwEZ6etiEidxKZJEutH//d//MXr0aDZu3AgUJZKZmZns2bMHo9GIRqPh999/Z+HChQwcOJBJkyah1+uZPn0648ePp6CggKefflqW83KxgoICjh49yi+//MKOHTtIS0tzJhpxcXGEhoayfft2kpKSGDx4MJ06dWLatGlERkZy/Phxjh8/jq+vr7Ovq1xQXUPi5D0SExPJy8vj+eef5/fff3c+HhYWhq+vL7/99htAiQSlS5cu+Pv7c/LkSbeUuSqSOIlLkSTSjSZOnIhGo+HNN99kw4YNAERFRXH33XcTGRlJZmYmzz77LHfeeSe9e/cmLi6OuLg46tevz5YtW0hPT3fvAVQBZrOZUaNG8eCDDzJq1CiGDBnCLbfcwty5czl06BAGg4Fu3bqxbNky+vbty3XXXcfbb7+Nj48PKSkpKIpCw4YNUVVVJqx2IYmTd6lbty6vv/46zZo1Y9SoUc65OI1GI40bN+b7778/L0E5cuQIISEhNGzY0J1Fr1IkTuJSJIl0k8LCQurVq8dnn31GWloab775JuvWrQOK1vG95ZZbWLt2LZGRkTz55JPY7XYOHToEFNVgfv/991SvXt2dh1DpmUwm7rzzTvLy8njiiSf45ZdfmDZtGtdffz2zZs1i+vTpxMfH8+STTxITE4NOp6NBgwYoisK+ffuYM2cOiYmJ3H777SiKIjVbLiJx8i7FSXrjxo157rnnaNmyJaNHj+a3334jLCyMF198kZMnTzJz5kyWLl0KwP79+1m0aBF5eXm0a9fOncWvMiRO4rK4s0NmVVdYWKiqqqrGx8er7du3V/v06aNu2LDB+fyCBQvUJk2aqAkJCWpycrL6yiuvqP369VOTk5PdVeQqIzc3V73xxhvVoUOHqgkJCc7O5cUdxOfPn682bNhQffDBB9WMjAw1Pj5efeihh9SOHTuqLVu2VLt376727NlT3bdvnzsPo9KTOHmn4mufqqrqnj171GHDhqmtWrVSN27cqKqqqu7atUvt06eP2rRpU7VJkyZqly5d1G7dukmcKpjESVyKTPHjZsXzQh47dowBAwYQERHBs88+S/fu3fnzzz8ZM2YMaWlpVK9enezsbD755BMaNWrk7mJXaiaTibvuuouYmBhmzJhBREQEUHJ+NICPP/6Y6dOn8/jjjzN69GhSU1NJT09n165d1KtXj9q1axMVFeWuw6j0JE7ewWKx8PHHH9OmTRtCQ0Np3Ljxedv8+++/TJkyhX/++Yd33nmHrl27kpSUxJEjRzhw4AD16tWjSZMmREdHu+EIqgaJk7gSkkR6gHMTycjISCZOnMi1117Lxo0b+eeff3A4HNx+++0yx5aLqarKSy+9xFdffcW8efPo2rWr8/HiZs6z/x43bhxr167l22+/le4FFUji5B1UVWXcuHF8++23APj6+hIdHU2NGjW4/vrrqVmzJo0aNSIqKop9+/axYMECfv31V95//306derk5tJXHRIncaUkifQQxYnk0aNHGThwII0bN+aTTz5xPn/2DVG4jqqq7Nq1i1dffZX8/HymTZtG8+bNS/3sVVVl7dq1jBo1ivfff5/u3bu7ocRVk8TJe+zcuZN3332X33//nTvvvJPc3FySk5PZv38/hYWF+Pj4ULt2bWrXro2/vz8rV64kMjKSqVOn0rlzZ3cXv8qQOIkrIUmkBylOJLds2cLw4cNZsGCB8+SUJLJi7d27l+eff57CwkKmT59OixYtSjxf3GRaUFBAixYtmDRpEvfee6+bSlt1SZw8n8PhYO/evbz88stA0cpBrVq1IiEhgfT0dLZv386ePXs4duwY8fHx6PV6LBYLNWvW5Ntvv8Xf39/NR1A1SJzElZAk0kUKCwux2+34+vqW+nzxx16cGGZmZhIWFgYUTdL63HPP8fbbb9O6deuKKbA4z4USlOKEXlVV1q9fz+uvv857770nfVXdROLk+VRVZe/evYwZMwaHw8Gbb75J06ZNnXNyAthsNhISEkhLS2P79u306dNHlpysYBInUVYyxY8LmM1mhg8fzvbt20t93m63oygKOTk5QNG0CB9++CH/+9//OHDgACtXrkSj0RAbG1uRxRbnaNq0KdOmTUOn0zF27Fh2795dokY4OzubNWvWUL16dRmY4UYSJ8+nKArNmjVjxowZ+Pj4MHbsWPbu3VtiTk6tVku9evXo2LEjo0ePlsTEDSROoqwkiSxnJpOJgQMHsn37dn799VfgzNJrcKbJ+vjx43To0IGNGzcSGhrKpk2bmDhxIo888ghbtmxhzpw5REZGuuswqoTCwkLy8/Mvuk3jxo2ZNm0aAGPHjuWff/4BipasfOutt1i3bh0TJkwgNDTU5eUVFyZx8g4XihNQYkS9cC+Jk7hc0pxdjkwmE7fddhv16tUjLy+P0NBQZs+e7Xy+uH/WsWPHGDJkCG3atGHSpEmEhISQlJTEoUOHsNlsNGvWTKZIcDGz2cyIESN49NFHuf766897vjjZN5lMGI1G9u/fz3PPPYfdbmfSpEmsWrWKb7/9li+++IImTZq44QiqpnP7BkucPFNxXM79d2lxevPNN2nevLkbS1t1nTsdlsRJlJkrJ6GsSnJzc9Xu3burQ4YMUU+fPq2+/fbbap8+fdTs7GznxMeqqqppaWlq+/bt1dGjR6u5ubmqqqolnheul5ubq956661qw4YN1SlTpqiqqjonqVbVMxPsHjt2TG3YsKG6du1aVVWLJtu9/fbb1YYNG6qtWrVS9+7dW/GFr0Ly8vLULVu2qCtWrFD37Nmjms1mVVXPxEri5BmsVqu6adMmdcmSJepPP/2kpqWllXjeZrOpqlp6nG677Ta1Y8eO6p49eyq83FWN1WpV161bpy5btkzdsWOHmp2drarqmfuPxElcCZ27k9jKwGQy0bt3b6655hqmTZtGSEgILVq04IMPPuDEiRM0bdrUuW1iYiIjR47k7rvvxmg0Asio6wp0dm1xcHAwycnJwJkmGofD4Zyzc8iQIfTs2ZO2bdsCRX3vJk6cyNy5c3n66adlgIYLmUwmhg4dSk5ODidPniQ8PJwbbriBF198EaPRKHHyEMVx0uv1JCYmEhgYSHp6Oi+99BI33ngjgYGB6HQ64uPjuf/++8+L06RJk5g6dSqBgYFuPpLKzWQyMWjQILKzs0lLSyMsLIyQkBDefPNN56TiOp3ugueTxElckLuzWG/ncDjU999/Xx05cmSJ5QhPnDihdu7cWX333XdVVS25fNTZtV6i4lxNbXExh8Oh5uXlVXTRq5SCggL1oYceUocPH67u3LlTzcjIUCdOnKh26NBB/fPPP53bJScnS5zcKD8/Xx0yZIg6ePBg9dChQ6rValUPHz6sPv7442qrVq3UBQsWqLm5uWpmZuYF41T8OsJ1bDabOmLECHXw4MHqX3/9pebk5KjffPONOmDAALVNmzbqDz/8oKqqqqanp0ucRJlJElkOUlJSSj3pRo4cqfbr18/5b0ke3Sc3N1ft3LmzOmzYMDUlJUVVVVVdu3at2rBhw/OaaHbt2qUuXLiw1JgK1zt69KjavXt3dcWKFc7HkpKS1NatW6sbNmxQc3JynAmLxMl9Dh48qHbu3Fldvnx5icc3b96sNmzYUG3Tpo26ePFi9Y8//pA4uVF6errau3dvdcmSJc7HCgsL1cOHD6ujRo1SW7Vqpf7000/q7t271Y8//ljiJMpEhlldIbvd7vw7MjLS2TQNZ0ZjDxgwgOTkZJYtWwbIqDZ3UVWVxYsX06JFC9544w3nqPcGDRoQERHB+vXrgTMxbdmyJUOHDi0RU1FxLBYLmZmZmM1m52M2mw1fX1/mzJnDrbfeyr333ktycjL333+/xMlNkpOTSU9Pp1q1agAUFBQAEBUVRa9evejduzdvvfUWGo2GYcOGERAQ4M7iVmkFBQXk5eUBZwbP1KtXjxdffJHOnTszYcIEfHx8GD58uMRJlIlkNVfAZrMxbtw4Vq1a5XxMPWuQe3GyWDzKet26dc4ERZXB8BVOURTuuusupk+fXmKewBo1atCiRQt++uknoGj+s+IfAJLwV7zic6Nu3brUqFGDTz/9lI8//piNGzfy2GOPERYWRs+ePbn//vsJDg5m1KhR7N27t8S+ouI0aNCA4OBgVq9eDYBerwdg+fLlpKSkMHr0aJo3b84LL7xAVlaWnFNuEhQURGRkJGvWrMFisaDVap33o+joaJ599lnq16/P008/LXESZSbfliuQkZHB9u3bmTt3Lr/88guAc2WMYg6Hg/DwcMaMGcOGDRtYunRpqdsJ15HaYu9QHCdFUbDZbPj7+/PBBx8QHBzM0qVLmTBhAoWFhcydO5eHH36Yhx56iNdee43IyEgWL15cYh5W4Tpnn0+FhYWEhIQwePBgvv76a5566ilmzZrFk08+yZIlS3juueeIjo7mrrvuIjMzk/3797ux5FWL3W4nJyeHjIwMTCYTPj4+jBkzhgMHDjB9+nSg6AdzYWEhADVr1uT+++/HZDKxe/dudxZdeCG5Y5aRqqqEhYXh7+/PqVOnmD17NmvWrAFKJojFyci1117LPffcc17CKVxLaou9w7lx8vHxwWazERsby5IlS/juu+9o27Yt9evXp3r16s4Y1apVyzlKW6PRyDnlYufGSafT4evry7333svYsWP566+/WLFiBQkJCXz66afOkb09evQgLy+PY8eOubH0VYfZbOapp55i6NCh9O3bl+eff56tW7fSpk0bHn30UZYuXeqcRFyn0zmbtvv06YPFYuHAgQNuPgLhbWSKnzJSFIXs7GwyMzPp1asX//77L7Nnz0ZRFG6++WZnIll8UzMajdx5551s376dBQsW0LlzZ/z8/OSm52LFtcX79u3Dz8+v1NicXVtcfIEdPHjwedsJ1yktTj4+PhQWFqLX67Hb7Rw+fJiYmBh0uqLLlaqqpKSk4O/v75xAXOLlWqXFCYqaQx988EHuu+8+VFVFr9fj4+Pj3C8+Pp7o6Ghq1qzprqJXGRaLhUGDBhEYGMjtt99OTk4Oa9asYeLEiXz44YcMGDCAnJwcFi5cSH5+PuPHj3eeU/Hx8URERBATE+PmoxDeRpLIK3Dq1Cl0Oh0jR44kPj6emTNnMmvWLFRVpUePHuclIa1bt2bs2LFcc801+Pv7u7n0lV9ptcWlxaa02uKoqChnwilc62JxOreWZM6cOcybN4/hw4dz4MAB/ve//3H8+HF69OgBSO2+K10sTlDUtF08GOPEiRP89ttv1K9fH51Ox3fffYdGo5H1lSvARx99hE6nY9q0acTGxgJFTdUvvPACf//9N7fccgtDhw7FYDDw0UcfceTIEfr3749Op+PXX3/FZDLRunVrNx+F8DaSRJZBcfJx+vRpmjdvTs2aNZ2/sGfOnOlc4vDsZAWKbnDdu3d3W7mrGqkt9g6XilPxsnk9e/bkyJEjzJ4929lX0sfHh48++khquCrApeKk0+lK/DCbP38+6enphISEYDAYeO+990oMaBOukZCQQEREBLGxsc4fYHfccQczZsxg27Zt3HLLLcTExDBs2DDatGnD1KlTnU3bMTExLFiwgBo1arj5KIS3kSTyIvLz8/nzzz8xmUzUqlWL+vXro9Vq6dq1q/OXtd1up2vXrsDFE0lRsaS22DtcKk4A9erVY+zYsQwdOpSdO3dSt25dGjRoIIlJBbrc8yk2NpZvvvmGvXv34uPjQ82aNZ1TagnXstlsnDx5EqDEuuVBQUHO6bJUVcVoNHLdddfx1Vdfcfz4cbRarXMFGyHKSpLICyhezislJQWTyYTdbue2227jlltu4brrrnM2FxQ3iZ6dSM6ZM4eCggL69esntVkVTGqLvUNZ4gRQrVo1IiMjadGihdvKXBWV9Xyy2WwEBQXRqVMndxa7SurduzdffPEF27Zto3379hQUFDj7qBb3Uy2OZ/Fz11xzjZtLLbydokpV2XlsNhuPPPIIqqoyatQowsLC2L59O2+//TbVq1dn2LBh3HbbbUDR4AxFUZzJ4q+//srEiROJjIxkwYIFGAwGdx5KpXeh2mIoWqf87KadjRs3MnPmTBwOB0888YQzQZFBGa4ncfIOEifvcG6cGjZsSGFhIUeOHKFhw4Yltu3WrRs33HADkyZNAopGcM+ZM4du3brRvn17dxRfVCJSE1mK7OxskpKSGDFihHOqirp161KzZk3efPNNPvjgAxRF4dZbb3XWRBZfOG+44QYmT55MzZo1JYF0Makt9g4SJ+8gcfIOpcXp1ltv5a677nLerwoLC50jr61Wq/NeZDKZmD59Ol999RX9+/d31yGISkTmiTyHw+EgKyuL48ePExYWBpxZzqtTp06MHz8ePz8/Fi5cyJYtW5z7nd002rlzZ+Li4iq+8FWIzWZj9OjRBAUFMWvWLFasWMGECRNYt24dM2bMYOXKlc5t1aI14oGiG9+zzz5LTk4OixcvLrG0nih/EifvIHHyDheK0/r163n99dedcdLpdNhsNjIzM7FarUREROBwOHjjjTdYuXIly5cvp0GDBm4+GlEplN8y3JXLkCFD1CFDhqjp6emqqhYtWF/s999/Vzt37qyOGzdOzc/PVx0Oh7uKWWWlpaWpPXv2VL/++usSj//+++/qHXfcofbp00dduXJliefOjtOmTZvUhISECilrVSZx8g4SJ+9Q1jilpqaqTZs2VadNm6a+/PLLaosWLdS9e/dWdLFFJSY1kRRV93/44YdMmDCBF154gQMHDtC5c2eSkpJYunQpJpOpxHqjnTp14plnnuHbb7/lwIED0nxTwaS22DtInLyDxMk7XEmcqlWrRoMGDfj4449ZuXIln3/+uXOCfiHKQ5VPIk0mE/fddx+rV69m//797Nixg0cffZT69evTrFkzFixYwIoVKzCbzWi1WudJ261bNwIDA9m3b5+bj6DqKZ68uF27dsyfP5+MjAzn6iYAbdu2ZcyYMaSmprJy5UoKCgpKjMIWFUPi5B0kTt6hrHHKy8sjPz+fiIgI/Pz8WL58OU2bNnXzUYjKpkonkYWFhYwZM4agoCBmzpzJkiVLWLZsGZGRkcyfP58ZM2bQunVrZs2axZIlS8jMzESv1wNFy4D5+fnJ3FoVRGqLvYPEyTtInLzD1cTp33//xdfXl1dffZWVK1fKqkHCJar06Oz09HROnDjB8OHDqVWrFgB+fn7079+fyZMnc+LECRYsWMCIESNYsmQJO3fu5LHHHiMjI4Off/4ZjUZDy5Yt3XwUlZ/JZGLw4MHodDrn6hm///47EyZMcNYWBwUFceedd2IwGJxzoJ1dWyzzC7qexMk7SJy8w9XGaf/+/bRs2VLWwxYuVaWTSJvNRmpqKjabDTgzTU+rVq2AokXp69atywcffMCcOXNYu3Yt9957L8HBwYSEhDB37lw5QV3s7Nri1157jaioKKxWK4888gjz589n8eLFjBgxglmzZmGxWLjnnnuc/YWktrjiSJy8g8TJO0ichLeo0kmk0WgkMDCQvXv3kpOTQ1BQEICzaSAgIMC57eOPP87w4cM5fPgwfn5+hIeHEx4e7pZyVyVSW+wdJE7eQeLkHSROwltU6SQyNDSU2bNnc/ToUWcCCWfWHXU4HEBRDWVeXh4HDhygQYMGGI1Gt5S3KpLaYu8gcfIOEifvIHES3qJKJ5EATZs2dY5YK17OKysrCwB/f3+gaJmoSZMmsXfvXj777DN3FbVKktpi7yBx8g4SJ+8gcRLeosonkWcrroFMS0sDICQkBJvNxvTp01mzZg2ffvqp9DOpYFJb7B0kTt5B4uQdJE7CW0gSWQq73Y6iKFgsFqZOnSqTtLqZ1BZ7B4mTd5A4eQeJk/AGkkSepbjfidFoRFVVJkyYwJEjR/jiiy8kgfQQUlvsHSRO3kHi5B0kTsJTSRJ5luIJdIsXpj969CjLly+nYcOG7iyWKIXUFnsHiZN3kDh5B4mT8DSSRJYiLi6OUaNG0bdvX+rWrevu4oizSG2xd5A4eQeJk3eQOAlPJUlkKXQ6HSNHjnQ2IQjPIbXF3kHi5B0kTt5B4iQ8laKqquruQghRVoWFhXzwwQdSW+zhJE7eQeLkHSROwtNIEim8VvGIReHZJE7eQeLkHSROwpNIEimEEEIIIcpM4+4CCCGEEEII7yNJpBBCCCGEKDNJIoUQQgghRJlJEimEEEIIIcpMkkghhBBCCFFmkkQKIYQQQogykyRSCCGEEEKUmSSRQgghhBCizCSJFEIIIYQQZfb/oupu+t8cJL8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x575 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 35 - 制作K线图｜周线"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对 df1 进行重采样，制作周线级K线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x575 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# df_new[df_new.index.isin(pd.date_range(start=df_new.iloc[0].name, end=df_new.iloc[len(df_new)-1].name, freq='W-MON'))]\n",
    "\n",
    "mpf.plot(df_new[df_new.index.isin(pd.date_range(start=df_new.iloc[0].name, end=df_new.iloc[len(df_new)-1].name, freq='W-MON'))],type='candle', mav=(7), volume=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RUVGllpuWlkZaWhozZ86kc+fOxc5FRETU/IsJIYQQ4pR8YSHFurMtWw24zvOBCufoVtLxkqp72LBuNZfdezmmPSpKPujBlX9W406dcOjF+8NDPzWT8283AGGeN8gxXQ9K2W1u4YqBRpi4++WnMGzZzvIOnxD0nZH8qwfTUL8Ti/YrLkP3ygdXDwRUEqlpGosXL2b06NHcfffdAPTq1YuIiAjuuOMO/vrrL/773//SokULnnvuOVTVX6ldu3alb9++fPrpp0ycOLHUsrdv3w7AwIEDSUhIqJ0XEkIIIUSl+EKLJ5HWrQacnf2TXCyKShus/Hm8NdLXQMcXo2PeacDVrfJbImbgK5yZDRCT1xDzXwbyX/dg0FKw+TaSanmuxH1xcfEcO5pS+Lm9EsSeZo2wr1qP4yIvQd8ZyRtmJc/0L0I975yxSWRAdWfn5eVx1VVXceWVVxY7npiYCMChQ4fo1KkTN9xwQ2ECCRATE0NISAgHDx4ss+ydO3cSFhYmCaQQQggRoFSDEVewlYgi3dmWrUZcnU+s5XOuEsRfx8cgArg6+LD8VbxLuqIy8RJZpD3tevV67H09aBE6Id6PcRguxqfGl7hv4eI3adOufeHnjooVU7eOQMHkGn+ZucYxhHg/Bv00Zv8EsIBqiQwLC2PWrFkljq9ZswaA1q1bc/nll5c4/+OPP5KdnU2bNm3KLHvHjh2EhYUxbdo0fvjhBzRNo2/fvsycOZOYmJhy41IU/5+aVvCM2niWqDqpp/pB6ql+kHqqH2qrnmbNeZKb3PuJUgz+3735YN6t4u7sK3x2JzWI5b4sUvfuZs6Mkbx83aVYN19LrlL6cLbyZOo+uqr+Z6HDeX92IHO6E0WBUO+HZJtvLvedC861wYoSZMXYoimuC7wYj6qYDqq4m3YBxYxF345b7VL5L0glVUc9VebegEoiS/Pbb7/xyiuvMGDAAFq3bl3ifEZGBrNmzSIuLo5hw4aVWc6OHTs4evQoo0aNYvz48ezZs4fnn3+e66+/nk8//RSbzVbmvYmNIggOrsJgiypKbBRRa88SVSf1VD9IPdUPUk/1Q03XU7bPi++wStdG0VhUFb4GGkOzLuEnYtB1opLScHVpxQNXf4wtNhm6zSWU4RC7AIxxFX5ezuEjnNsgghbWYNgMpEHsuGBQtkPebmKajCXGEFrqvWHBZlokRBR+9r3zF9YLu5LYKgJ6QdNtYdALONiFxmF7IOLSKn1NquJ06ik/31ThawM6ifzll1+4+eabadq0KY899liJ80ePHmXSpEmkp6fz+uuvl5vozZs3D4vFQvv2/ubn7t2706pVK8aMGcPy5csZM2ZMmffuO5KFzeY5/Rc6BUXxV/y+I1ln8mSuek/qqX6QeqofpJ7qh9qqp0O6m2BUkpL9u72Er7Vg6WjgWJK92HXtfCauG7mD/ByVg/nf0Pi6XPLX3Idtz7mkWp7HbirZa3kyTddJ83lwpDnYq3ho+LQN7V866ekOIl1LMRku51iKD8gq9f7ze13K3qQT51w/bsEyfAh7k7KION+C+QsDxy63E+Vph5L+I+n5I6v6Zamw6qgnuz2/wtcGbBK5cuVKZsyYQWJiIkuXLi0xg3rXrl3cdNNN2O12lixZQqdOncotr0uXks3I3bp1IzQ0lJ07d5Z7r67X7gz92n6eqBqpp/pB6ql+kHqqH2q6njJ0H5EYCp9h2WrA1dlX4pkDfOtoF/sPox9twX9fN0BaM7IOvEJ+y49p6LyZVBaRb7yy5AOKyNJ96ECYbkBJVwheYeLwmlx0TSPE8xFplqfKfdd+A4YUO+/+7S9st00kTfNi7m0g/FULug9caifCPK/UmzyiMvcF1MSaAkuWLOHuu++mc+fOLFu2jIYNGxY7/8MPP3Dttdei6zpvv/02Xbt2Lbe8nJwcPvroI/75559ix3Vdx+PxEBkZWe3vIIQQQojKydK9xRYat/xpwNnppFnXuk4n78u8ZriZtGwLqOBq78O8zUC+aTjHrC/T0HkLJm1Xuc/KxEf48YXGw94x4+zpxdNCw+r7DgUHdkMlu5/tDrzbdvO7bsd1ng/FpWDepeIydMSibQNdq1x59UDAJZHvvfceTz31FIMHD2bp0qWEhhYfi7B9+3amTJlCo0aN+OCDD8qdTFPAZDIxZ84cFi9eXOz4+vXrcTqd9OjRo1rfQQghhBCVl4mPqOMzs9VsBdNBA+72xZNIi/YrNm0/69TLUWP9WxG6OviwbPMnn3bj5WSbphDnuA5Fz6MsGXj9C417IfwtC9nj/TOow7yvk2scA0rFxwYW8Py0hS26A4zg6OklaJMJj9IK0DDp+ypdXqALqO7s1NRU5s2bR0JCAtddd13h2o4FmjZtygMPPIDX62XatGkkJyeTnJxceD4qKoqmTZsCsHXr1sLPQUFBTJo0iUWLFhEdHU2fPn3YtWsXL7zwAn379qVXr161+p5CCCGEKCkTL1HHUxPzdhVPYw0tonj/arhnMbmm67AfyCT6PP+yOu4OPkI/OZH0ZZrvI9j3P0K8K8g1XVvqs9J1H5EYsX1lRDfp2C/1ourpBHtXcsj2fZXi9/yxgz248Ol64RaI2f9nwK22x6z9iUdtWaVyA1VAJZFff/01TqeTpKQkxo4dW+L8Y489VphY3n777SXODx8+nCeeeAKA0aNHF/t866230qBBA959912WLVtGREQEo0eP5rbbbqvBNxJCCCHEqUyd7N+butVLT9FS8W9jaNleshXSoB0j2Ps5h2zfE5y1k0FTpgDg6uglek4QeAAToKjkGq8hxPtRmUnkQVw0UcwErzGRd4UHDBDqfg+noQdetUWV3kM7chQDcAQPQb0NRD1tBQ+41HOx+P4k3zisSuUGqoBKIkeOHMnIkeXPXjrV+QK7dhUfC6GqKmPHji01ORVCCCFE3UlJ8fcqRuMr3DfbvM2A61xvsetCvW/iMFyMV22BMWUTh3X/yinudhp6sE7QZiOOi/z35BmHE+2eg0E7ik+NLfHMfbqb3oRg22Di6KJ80HXCPG+QYZ5R9RfRdZpjYb/uokk7M1qQjuV3A+7zOmHzrqp6uQEq4MZECiGEEOLslIWvcMtDyzYjrqItkbpGmGcZOaYJABhT0jiMf49rVMgf5CH4yxNd2j61EQ7DhYR4l5d4Tp7uIxUv5/xpQ3GBs5sPm+9LDGSSb7zitN6huWJmH25Q/LvX2DYZcakdsWh/nVa5gUiSSCGEEELUKVVRiG3WDDuafxtCN5j/VnGfeyKJtPq+RyEfu2EgAKaUVI7hxXV81nP+YA/Bq01QZAhlnnEkId6PSjxvP25iMRL1lRl7Xy+KIZ8GrvtIN8+G493pVZWoWNh3fJtD/z7aJtxqewz6UQzasdMqO9BIEimEEEKIOtWmXXtmPr8IGyo2RcW824Bm0/E2OpERhnmXkWcczfp16wBQ8x2EoHIEf5e2o4cXxQGW308sEZRvvAqz9idGbW+x5+3TXSQqFmzrTNj7e4hyP4FXaUqusepD3lRFIS4unkTMJOFh9fovcfT2Yv3NAM5gPEorzGdYa6QkkUIIIYSoE+vXnhgnmIaXBsenali2GXB38EHBXtB6DsHez8kxjmHDutWF9zTGzGH9eJe2CewDvMW6tDUlHLthIKHej4s9d6/upv3RICzbDXj7/kKY51VSrc+c1qbTN0+7k4WL3yRSMRKKgXU7f8fbRMMXpmPebcBlOBeL9meVyw9EkkQKIYQQok4UTQhTdS8NC5f3MeDqcKIrO8S7HLd6Dh7DOYXH+g0YRGPFxGFObEucP+h4l3YReaZ/E+L5sHArFl3X2YeLrl+H4Lwwi4bmG8k034tHPfW60+XpP3BI4f8nYsbT2L+Ht6eND/MuA261I2ZJIoUQQgghqlcaXhocn5lt+evkJPJz8oz/LnZ9/4FDaIyZgwUtkYC9rwfjERXzjhPpjd0wEIOegln7o/A5TjSarLeizrgZr5pIlqn6lvtbv3YViYoFb2P/jHBXWw3zbhWX2gmLT5JIIYQQQohqlVa0JXK3irvd8W0CdR8W3084DBeVuOdcJYi9PgfJx5f60YMgf4iHkE/NTJ08jqmTx3HLTTex/qcIQo9PsNmnu2nhshAcvgxjs284ZnkJlOpLhzasW01z5URLpLvtiZZIk/4Pip5fbc+qa5JECiGEEKLOFbREKnlgyFLxNvYnkWZtO6DgVs8pcU+4YsD86zZW69mF4ytzh7sJ/dTM0eQUUlKSSUlJ5uN1QYR4Pwbdx15cDN6ah3LvnRy1vYhPbVjt75KIBV9UONm6r7A726fG4FMaYtZ2VPvz6ookkUIIIYSoUzr+JLIhRkyHVXxhOlq4fwyj1fcDTkOPwtbC6AYNit1r+/YXNut21v60CfCvzYgG3fK6Fl7z87ZQQCPUu4w9mp2BIffj+ftfOEz9a+R9bIqKb98h7vvv07jbaBiTVdQccKtn1uQaSSKFEEIIUad6XX45HnSiMGJMOtEKCWDVfsRpuLDwc3paWrF7jelZdCKIpHbN/NsnGiHvajf/doxEPT7bWtMV0syPE+l+gvnOfgSH7iBDm1uj7+TdthutdXO0cB1vvIZptwGX2hHzGTQuUpJIIYQQQtSpdn36EIEBk6JgPKTiTSgYD6kT5PsRp6FnmfemHksmaembmAdeTEqGP8HMHeFhYHZ/JlhvpGteF9Ah3zSC1UE/sjLjfvQ7PsF+fnCNvEtujr9rfUDztsT1vRg4MS7yTNu5RpJIIYQQQtSpopNqjEkqnib+JNKoH8Sgp+NSuxRee3J3NoA56ShaRhambp1Yv3YV7g4+csa6+FfaCJ7d/wz/yvwXALvRiPniOhxRndGDauZdQsPC6T9wCP/q3ItkPOTqPtxtfJh3G3AbOmHWtoHuO3VB9YAkkUIIIYSoU6lFlvcxHT7REmn1/YBT7YKuWAuvPbk7u2FMPA/NmY/7m82Y+/Twrz2pQPqDTo6uM7BozjFGu8eDDv94XfR+J5y8q93UtBDFQGNM7MaFu62GeZeKR0kEFEz6nhp/fm2QJFIIIYQQdapgUg2A8bCKt0lBEll8PGR53N9uxtStI5r1xN7XX+o57BjuJD6/AdoWhYRVVsyaSt6VnnJKqj5tFCu7dGdhdzaKv0vb6ttcK8+vaZJECiGEEKJOpeontjw0HlbxHG+JLG08ZL8Bg0r9rB1Nw7f3IK4OrQDI0r1s1HOZENyAtZcdJvsthWteiiHnJhfHH1UjisbXVrGyW3fibu3DkK6gpivkGYcT6v2w5gKoRZJECiGEEKJOFa4R6QBjmn92tqqnY9L/9i/vU0TR7QVP/uz+ZjM557bioece43M9m44E0UQx81XsF3T5JJSYFBN5o2q2K7toPG2wkISH/CANbxP/zjV5phFYfZsxaodqNI7aIEmkEEIIIeqMV9fJxEfD48v7aDYdLVLH6tuMW22LpkRUuCz3dz+jNEsgefJotukOrlbDATi3WzTbL85n+815NTahpjQhioFgVNLw4m6pYdprQFMaYDdcSsgZ0BopSaQQQggh6kRuTjZffLcBIwphGPzjIRtroBwfD6lWbDxkAT07l4R5L9P4sUU8aWhMI8UMwICBQzC97iH6Jr0mXqNc0RhJx4unhQ/zP/60K9d0DaGe90Gv/XiqkySRQgghhKgToWHhNO99IbEYURUF02EVT+Oyx0NWhFLGcZNRQVHKOltzojCQrnvxHG+JBLAbBmPQU7BoW8u9t2Arx0AlSaQQQggh6kyK7iFOMQHHZ2YnaCi6HYu2tUpJZFJSEqqhBmfOVFK04m+JdLfSClsidcVKvnE4od5l5d67Yd3q2gixyiSJFEIIIUSd6DdgECl4iKdIEtlEw6JtwavE4FWbVLrMhjHxzJozv7pDrbJojGToPjwtfBgPq+DyH88xXU+I50MU3V63AZ4GSSKFEEIIUSf6DxxCsu49kUQm+Zf3sfp+qFIrJJRcAqiuFbRE+mJ0tGAw7fenXi61K161CcHez8u8N/VYMnNnT6+tUCtNkkghhBBC1Ald10nmRHe26XhLZFAlFhk/2clLANW1KAyk4wUF/+SaPf5xkSgKOcZxhHneKPPehIQENJ+3liKtPEkihRBCCFEnctFwoBGLEcUJhqMK3sYeLL6fcKo9Tl1APRCNkVw03Lrmn1yz50TqlWcahUXbiknbVYcRVl3AJZG6rvP+++8zdOhQunTpQv/+/XnsscfIy8srvGbv3r1MnjyZbt260aNHD+6//35ycnJOWfYff/zBddddR5cuXejduzdPPvkkbnfN758phBBCiJJS8BCNAYuiYvrbgBahY4jagQK41XPqOrxqcd9NE8DlJgMf7pZFWiIBTYkg33gVoZ536zDCqgu4JHLJkiXMmTOHvn37snDhQiZNmsSKFSuYNm0auq6Tk5PD+PHjycjIYP78+dx9992sXbuWO+64o9xyDx48yIQJE7BarTz77LNMnDiRt99+m0ceeaR2XkwIIYQQxSTrHuKOj4e07DDgPseHVfsJp6E7KIZT3F2cqijExcWXe01dLJlzNCUZX2q6f63Ik1oiAfINg7H5NpZbRqAu9RM4c+ABTdNYvHgxo0eP5u677wagV69eREREcMcdd/DXX3/x/fffk5OTw/Lly4mKigIgNjaWyZMn88svv9C9e/dSy16yZAnBwcEsWrQIs9nMJZdcgtVqZe7cuUyZMoWEhIRae08hhBBCUGw8pHmHiuscDYvvZ5zqBZUu6+Zpd55yPOSGdavrZMykdiyd9Cb+BcdNew2gU7igpdNwEWbX/6HqWWXuzlNXcZ9KQLVE5uXlcdVVV3HllVcWO56YmAjAoUOH2LRpE926dStMIAEuvvhigoOD+eabb8ose9OmTfTt2xez2Vx4bPDgwWiaxqZNm6r5TYQQQghxKin6ieV9zLsMuNv5sPp+wmk4v9JlnSrJmjp5HLt3bq9SnKdLS00nAx+eRA01FwypJxY996kNcattsPq+K/P+3Tu3M3XyuNoItVICqiUyLCyMWbNmlTi+Zs0aAFq3bs2ePXu4/PLLi51XVZXGjRuzf//+Ust1Op0kJSUVJqMFoqKiCAkJKfO+Aori/1PTCp5RBwvqi0qQeqofpJ7qB6mn+qGm6ikFD/GqCUUB8w4DvpmHMel7cRu7V//3hOL/U9vfa3Hx8WSnZZCBF4LA20TDvMeAM/bErOu/k5rSpOm3OExXlFqGruscTUk+ZezVUU+VuTegksjS/Pbbb7zyyisMGDCA1q1bk5OTQ3BwcInrgoODi02+Kapg0k1ISEil7iuQ2Cii1GfWlMRGEbX2LFF1Uk/1g9RT/SD1VD9UZz05NY30Qz56xkcTmWaCdIg//0/I7UDzxs2q7TkFvlz5OZMnT6ZFQkS1l32q5z757XqSzdAiLgL6QaOvQ+DfJ65ZtMzHLc2/J/yk2Kxmf5pmMfvHh1Y09tOpp/x8U4WvDegk8pdffuHmm2+madOmPPbYY4XHS9v7Utf1MvfE1MvZ4Ly8+wrsO5KFzeapYNRVpyj+it93JKu+78l+RpN6qh+knuoHqaf6obrraf3aVbQZ0B8bKhnJeTi/NRGdGIQ9ZwOq3o20pKzTf0gpcvLd7K2hsstzXmIHfnGlsTcpC/MYlUZXh3Lw5hzW/vI/+g8cwv70NuiuDRw49A+a2qDwPqfb31rpcvsAThl7ddST3Z5f4WsDNolcuXIlM2bMIDExkaVLlxIREQH4WxNLazm02+3ExcWVWlZoaCgA+fklvzB2u73wfFl0nVr9y622nyeqRuqpfpB6qh+knuqH6qqn9WtXE9qvD7EYAQXT8ZnZFu/P5JrG1uj3Ql18n0XpRjLx4dN0XOdoOLt7+WX8Bt6LfJ1+A4Zw8HA+bvVcrL5N5CvDSsZc8N8Kxn469VSZ+wJqYk2BJUuWcPfdd9O5c2eWLVtGw4YNC88lJiZy8ODBYtdrmsbhw4dp1apVqeXZbDZiY2M5cOBAseMZGRnk5eWVeZ8QQgghyjd18rgqTfo4hpfYwpnZBtwd8rBoW6o0qSbQRWBAB7Lwtyhm/Z+LAdsvpVnciW57h+FigrxlTxAORAGXRL733ns89dRTDB48mKVLl5ZoJezduzc///wzGRkZhce+/fZb8vPz6d27d5nl9u7dm40bNxZbXPzLL7/EYDDQs2fV9ucUQgghznYpKcmkpCRX6p7dO7fz2XcbiDneIWrZqaJc+DletRke5cxr2DEoChEF2x8Cjr5e8iz5tPutTeE1dsNAgn1fgq7VVZiVFlBJZGpqKvPmzSMhIYHrrruO7du3s3Xr1sI/GRkZjBkzBovFwoQJE1i7di0ffvgh9957L3369KFLly6FZW3durVYi+WkSZNIT09n0qRJfPXVV7z22mvMmzeP0aNHEx9f/uKkQgghhKheekw0MZjAC+bdBqwt3ibXeO0ZO1U/GiMZur8lEgXMD0Qy+sjowr5qh6E3Ch6s2ua6C7KSAmpM5Ndff124HM/YsWNLnJ83bx4jRozgzTff5PHHH+eee+4hODiYwYMHM3369GLXjh49muHDh/PEE08A0LJlS1599VXmz5/PbbfdRmRkJOPHj+f222+vlXcTQgghhF+bdu1xtEokVjFi/ltFa5yE1fwNR40v1uhz+w0YVKPllydKMRa2RALkDncTPSsM+zfHd+ZRjOQZriLYuxyn4cI6irJyAiqJHDlyJCNHjjzldW3atOH1118v95pdu0puZt69e3c++OCDqoYnhBBCiJOoikJMbOkTW8uiWczkoBGDCetmI75Jb+A09MWnVq6cyqrLXV+ii3RnA2CB1W3WMXTxVdDYfyjPOJxY1yTSzY9XetvHuhBQ3dlCCCGEqF/atGvPwsVvVuoeX1Q4IajYFJWgzQbUS98i1zSmhiIMDNEYSde9xY45J4L1JyNNsvxZpL8FUseq/VgHEVaeJJFCCCGEqBXr164CwNcg0j+pRgdr/i+ooUexGwbXcXQ1K1oxknF8dnaBi0b0J/dfbq48dLyFVDGQb7yKEM+Hxa5TQmpvw5PKkCRSCCGEELViw7rVAHijI4hVTBj3qxgGv0KO6Rp0xVrH0dWsKPxjIk/eACX/cg/t97YtnGCTYxxHiPdT4hzX0ig6C0+DBgwfupjYuMCbBCxJpBBCCCFOW2XWi/RFRxCDEdtvuTDoA3KsN9RwdHUvGgMudPIpvoSPo4eXUGcou3e7WKPl4DZ05GDwb3jUZswet4LLjD2Y/EJjFlVyyEBtkCRSCCGEEFVWMOO5MutF+pNIEyGeD/BmdMGjtqvJEAOCRVEJQS3RpY0F/my+h4Nf+dig5wCgKdGkW57gh+3tGdvhJdJnueog4lOTJFIIIYQQVdZ/4BA0XSdq3kzMPbqUe210A/++0GqjWGIxYO3wKnmuCbURZkAo6NIuKlf38d1oM0M2RpKBj6wik28yP34WEnfQsP97tRxpxUgSKYQQQojTchQvhnYtCbljEp9pWWhlbMCcnpaGQ9dwmY20SP0DopLIan5lLUdbd6IxlJihvVLPZkur3TT5yUqrPCv/cLzV8Rhc/r8+LPthBNGeh+og2lOTJFIIIYQQp2W/7iIRC1Evvce3eh6/4yj1uugGDTiGhxBU4vavwLd1BFrImT2hpqhopWRL5E7dSfaRX/E01+j3Qzj/6P4kMnst/N0ujw3b7RwO2lAX4Z6SJJFCCCGEOC0HcNNMMWNMzaCXEsxvuh04saRPgfS0NI7qXprlmbA2WE5Wk6vqItw6U2zrQyBP95GEB/P+JOyXeui2PpQ9x5NI8wYjv7XeiaLreNUmdRVyuSSJFEIIIcRpOaC7aY4ZgC6Kjd91B15dL1zSp6hdOJmw6gDYHGSf26u2Q61TJ299+Dcu4jGh2p3kDfXQ5DMzx+xesp1eWm4K4pu8j1ANAbW5YDGSRAohhBCi0gpaGTVd5wBumisW+g0YRHPMWFC4dcEcdu/cXuyeSwcM4p8cF53zVmF3Xwlq4CZINeHkrQ93607aKhYAXOf5OBx0mMs/i2LLjy7yonz0/FdXZs2ZX1fhnpIkkUIIIYSotIJWxmQ8qEAMRvoPHIKiKHRWbOS2blY4wUaxQ+SzFq6b/29e69YG5bKPyW50dnVlg787OxcNt+5fK3K37qI1x8eEKrCu9Vdc/XY0kevNpPZz0f+yutvruyIkiRRCCCFEpaUeS2bu7Ons1900xYyqKIXnuipBmC/oDIqCbbWRpn3CCPrGxDd3ZfLmN5+iR+XjMF5cd8HXkRBUzChk4MOuaxzETZvjLbgA3zf7kQaHzAz6KIqg/qXPcA8kkkQKIYQQooSTJ8WUpaAru6jD6zeCxcIo/o/YO4JJf9DBkY/zWDEwncsiF5JrGguKqQaiDmyKohCFgX90F3twEYORCMXfggvgMrrJ/pcLi1dBv1A7RWl1T5JIIYQQQpRQ2qSYohrGxDNrznz2667CSTXg3/5w8fMLuHa2ytSd13FkWR55wzy40IjU1hGn/UWm+Z6aDj9gDVLCeF/P4FUtjTYn7Re+e+d27tg/hfT5DvSgOgqwEiSJFEIIIUSV+HSdQ3hoppxIIo8mp3DH4dv515ftuG3p7zi7+CeS7NJzucXzDFmWB9CU8LoKuc5drIbypNqYy5QwLlFCip3TdJ3tWdu4YdW1Fd6HvC6dXdOihBBCCFFtjuDBiH9SDQBemHPwITrnd+KGthPI73gv+3DTAgtm9/OYsJBjDPzkqKbZFJUhpSTSqqIQExtX4T3I65q0RAohhBCi0voNGMQB3U0zLCiKguKEuJuC6eBpz41tJnPEcBjP5i38qtvJ9q6ln/cl0i0LQTHUdegBq0279ixc/GZdh1FhkkQKIYQQotL6DxzCflw0V8zghrjxwaiZCuoP0TToGEfTOCcdD36O3buRts7/Y735UczGrnUddkArmKVdX0h3thBCCCGqZL/uZrAaRtR/rBhyFJI+zkMPgnObJ3PnPdtJy/qHCPfPrDT+i7amG+o63IBXMEu7vpCWSCGEEEKUqaylfry6zmHcdNwUTPibFo6+aEcPgiDvRu4etYEXPj6P4fd0ZIntN7LMswmRbuwzjiSRQgghhChTWUv9HMFDeL6RNneEkfawA08LDXQXsc6JvPplT/598wbatGvP2ptv45Obp9Vy1KI2SBIphBBCiErbr7sYsiESX6RO7ig3AMG+L/Ep0ZhipgD+MX4pKcn1ZrZxTavoAu6qohAXF1/D0Zw+SSKFEEIIUczc2dNJPVZ+4rcfNxetCif/Sjcc3/Ew1PM2uaZr6T/wcqD+jfGrSVMnj+PlFxdU6Nr6MktbkkghhBBCFKP5vCQkJJR7zRG7h5ZfBZE3xAOAQTuCzfc1ucZril0XFxdfbF/ts1VKSjKarjN39nTmzp5e1+FUi2qbnZ2WlsaxY8dISEggPLx6VqJPTk5m6NChLFy4kB49egDQtm3bMq+/4IILeOutt8o837t3b9LS0koc37RpEw0bNjz9gIUQQoizgEfXafS1BU8jDU8b/x7Pod73sBsuwacW74ZduPhNHrjvjjqIMjBpPm9dh1BtTiuJ9Hg8LF26lA8++IDkZH+z94svvojL5eLzzz/ngQceoEmTJlUqOykpiYkTJ5Kbm1vs+Pvvv1/i2jVr1rB06VKuueaaEucKpKWlkZaWxsyZM+ncuXOxcxEREVWKUQghhDgbaLqOS9MKP+/HxaWrInFc7vF3Zes6oZ53ybA8UHdBilpX5STS5XIxYcIEtmzZgq7rACjHm6t3797Nxo0b2b59O++//z7x8RUfHKppGp9++inz588v9fzJCeCRI0f44IMPGDt2LFdccUWZ5W7fvh2AgQMHnrKJXgghhBB+OvCSloaamsEUogH4yZnP9A0xpH6QD4BZ245RT8ZuGFyHkQa2uLh4jh1NqdC19WXR8SqPiXzllVf47bffAOjfv3+xc3a7HYDU1FReeumlSpW7a9cuHn74YYYNG1ZmIlnUE088gdVq5a677ir3up07dxIWFiYJpBBCCFEJ9j7nc1B385fLzkHdjUvXcPysQJiOu4MPAJtvFXZDf3TFWmoZ9SUpqkkLF79Jm3btK3RtfZmQVOWWyJUrV6IoCtdccw2zZ8+mXbt2hefuv/9+HA4HH374Id99912lyo2Pj2ft2rXExcWxefPmcq/97bffWL16NfPmzSMkJKTca3fs2EFYWBjTpk3jhx9+QNM0+vbty8yZM4mJiSn3XkXx/6lpBc+Q8ceBTeqpfpB6qh+kngLbLt2JvV8P7jE2ZN5XnzHXZOLGXgM4/+cQPD28KMebooK9/yPHPLnMehxwWf1IimqDajBy6OCBGvmer46fp8rcW+UkMikpCYDzzz+/1PM9e/bkww8/JDU1tVLlVmZ84tKlS0lISOCqq6465bU7duzg6NGjjBo1ivHjx7Nnzx6ef/55rr/+ej799FNsNluZ9yY2iiA4OLjCcZ2uxEYRtfYsUXVST/WD1FP9IPUUWKxmf3rwq9VFxNdbueS67sz8aAWWpx/iK0M+j/0eQ+goM6EJFvAkwZ4/sTYZRYwhom4DD3BhwWYWL17M5MmTaZEQUWPPOZ2fp/x8U4WvrXISGRwcTFZWFnv37i31/I8//gjU3KSV5ORkNmzYwIwZMzAaT/0a8+bNw2Kx0L69vym5e/futGrVijFjxrB8+XLGjBlT5r37jmRhs3mqLfayKIq/4vcdyeL4MFMRgKSe6gepp/pB6ikwOd3+GcR/2/M5NzyWfUeyODcmjlBzGH86HTT42cih+3PwJGmEut8nxNCT5BQVyKrTuANdTr6bvUlZnN/rUvYmZVV7+dXx82S351f42ionkb169WLlypUsXboUs9lcePynn37iq6++4uOPP0ZRlMKlearbmjVrUBSl3Mk0RXXp0qXEsW7duhEaGsrOnTvLvVfXqdW/3Gr7eaJqpJ7qB6mn+kHqKbCoBiO6onAED1M69yysm2FqBD13h4Kq4G6jgQ427yryDUOk/ipI16HfgJr9ep3Oz1Nl7qtyEnnHHXewadMmcnJyWLBgQeHM7DfffPN4EDpBQUHccsstVX1EuTZu3Ej37t1p0KDBKa/NyclhzZo1dO7cmVatWhUe13Udj8dDZGRkjcQohBBC1Eez5sznqO7hYS2ZBkVShQTFjLLsb1xdG4AKip6HzfcNaZan6jBaUVeqPDu7SZMmvP7667Ru3Rpd10v8adasGa+99hqJiYnVGS/gT/7+/PNPunbtWqHrTSYTc+bMYfHixcWOr1+/HqfTWWOtpUIIIUR9U7C/8xE8xGEssdtMzsp0Pkzyr9kc5PsGj5KIV21e22HWS2faLPXTWmz8nHPO4fPPP+ePP/7gzz//JCcnh+DgYNq3b0+3bt0KWyer25EjR8jNzS3WqniyrVu3EhUVRdOmTQkKCmLSpEksWrSI6Oho+vTpw65du3jhhRfo27cvvXr1qpE4hRBCiPpmw7rV9B84hGTdQyOl5CSLzvmdeCj6ES7iSmze9diN/UspRZSmvizdU1HVsu1h8+bN6dSpU+Hnv/76q8YSSID09HQAwsLCyrxm9OjRDB8+nCeeeAKAW2+9lQYNGvDuu++ybNkyIiIiGD16NLfddluNxSmEEELUV0fw0AhzsWOGZIUYdwx/2baBrmPzrSPVsqCOIhR17bSSyM2bN/Pwww9zySWXMGPGjMLj119/PZGRkTz55JNlLgFUET169GDXrl0ljnfq1KnU40WdfF5VVcaOHcvYsWOrHI8QQghxtjiie+imnlj+bujQoQR9Z2SnbRcRCZGY9D0Y9FScBunNO1tVeUzkn3/+yaRJk9i/fz87duwoPH748GEcDgdHjhzhxhtvPOXMZyGEEEIEFk3XScFDPCe6s4cOHUrYWxZ+av8bCxe/ic27Hoehd5m71IgzX5WTyJdffhmPx4OqqnTs2LHwuM1mY/z48RiNRrxeb6W3PRRCCCFOpWDyh6hec2dPJ/VYMul40dBpWLTD8lcw7zTwbaJ/J7og3zochgF1FKkIBFVOIgvGPd58883cc889hcejoqKYMWMGN910U+EsaiGEEKI6bVi3uq5DOCNpPi8JCQkk4yEWE4ai8xsWQu5INw6TE0V3EOT7TibVnOWqnERmZGQA0KxZs1LPN2nSBIC0tLSqPkIIIYQooaC1TNScpJNmZquZCrwHOeNdANi8X+JVGuFRWtZViCIAVDmJjImJAfw7x5Tmiy++AKjQYuBCCCFERRW0lomak4yHRkXGQ4Z+aIYLwdNaA3QiPC+SbZrs32dPnLWqnET27dsXXddZv349I0aMYMGCBbz++ussWLCAESNG8N1336EoCpdeeml1xiuEEKIeKG3MYsExGc8Y+FJ0D3FFksiQ5Sa4wf//7ZoexaTtI9ckq52c7aq8xM+UKVNYu3Ytx44dY8eOHcVmaIN/V5nY2FimTJly2kEKIYSoH9avXUX/gUMKF6w++dgnH77LsaMpVV50ef3aVagGI4cOHqjOsMVJjuEl9nh3tmmfimmXAYYBuTD0wm1kmyahK8F1GqOoe1VuiSxYuLt3796lbnt40UUX8c4770h3thBCnEVOnvAyd/Z03n/n9cJxjCnZmWi6flrl3/rw43S/+w5e1dJYpWXj1rXTDVsUoVnN5KERc7ydKeQzE45+HggDk28n57U8Ro5pUh1HKQLBaS02npCQwNKlSzl69Cjbt28nNzeX0NBQ2rdvT2xsbHXFKIQQop5IPZbM3NnT2b1zO1MnjyOqbQsiB/QhKzIc0/VXEdE0Afc3P6LrepV2NtOB/2jHsJ2TyP7/rURr15KNic25UW1AW1mvsFp4oiIJQ8WqqKBDyOdmMu92EoyZaNdD5Fkn4FNj6jpMEQCqZdvD2NhYSRqFEEKQkJCA5vP6F6vOzsR9y3XoSckE2V0EbfuH1OeWEvLgbfx80M6F1hC0uMq1SnoSG+PAx2w1ntGL3wZF4fJP32eFlk1bgySRp0s1GNEaRBFzfDykeaeK8YiKvb8H8lZi0X7lqHVxHUcpAkWFk8g333wTgEsvvZQmTZoUfq6IcePGVT4yIYQQ9ZqpWycam224X/kYs8k/esp34DBt7v2aob/0QWuikfZFfoXKKhhXae/RiX5KCEZFIS4unmNHU7jIHsJ37qN4InVMMlv4tMyaM58VWhapeAEI/dhM/mUedKsLjt5JhvlBNCWiboMUAaPCSeTjjz+OoigkJCTQpEmTws8VIUmkEEKcfcy9utFNCeaHIsdG6f/mzm9u5dvHMznnrRAin7PCs+WXM3f2dA4dPMC3v/2I6/br6aOEALBw8Zs8fevDdLk6ijdSI/n7sVwihtbY65w1juElDhNqhkLYMgtH3skj3LMU1GByTfL7XJxQ5Yk1QKkTak7+I4QQ4ixktWDq2pHuio1+AwYBMHjbZdy3514y3/ARcq3O7Kf2EfaKBX6qWJF5ndvBrr00PD5r2HhQ5eF19+Pq6uWte3ZxzoNhRD5rqak3Omsc1T3EYCRisQVHDy/uzvmEu1+AhnNBMdR1eCKAVLglct68eQB06NCh2GchhBDiZOauHVHTMolr2pq4gUOIWxBKn38u4sjHebg7+ojFxKHww/x+Zzxdx0WgfAF6GUMaZ82Zz/0z7kAb0Ifwtz6B8y4DH8TdZOPvHskEzTez5v0v+HutmbvyZXz+6TqGl8YZZsJft3Dk/TxCve/gUxpgDL4CsrPrOjwRQCqcRA4fPrzY54JZ2I0aNar2oIQQQtRv54y7ls5xTQEw/2Hgsh0DeHDow0zpOMN/ga7T+tAfbB3/N12PtiXqyV6kzXaVWV77f49gKzqDG7cCIOwtM4pTIWhxLCgQm5nPX9F2cht6sZ5eJ9tZLV/3kYdG21dCcFzoxdXJSaz9OTIsDxMr403FSao8O/vBBx8kOzubyZMnc+edd1ZnTEIIIeoxX5CV9NgIuik20KHBo1bWdFjNltwt/gt0nVjXRJ4/9zP2+1qj351F2I4E9N3X4ElU8RFFvnEoKCd+RWV3bsfFipmBA4ZgSFWIeiqIo//NB7P/fPdW55CDkd246ERQHbz1meEYXsJQifjCTOpjDkK8H6NjJt94VV2HJgJQlZNIp9MJQKtWraotGCGEEPWbDmReeSntsZKgmLGtMWL6x8C531zE6B9yAQj3LMLi+5Wbn/k37lkPcUNUBBf8/h5hB77CEe/DpO4myj2PTPNd6IoVp5aLl3AuMfbB4ttCg40/43vyKMHn5xLidKLg4NqLoZt7OfsM/cA8um6/CAFs7uzpgH+IQGmO6V46HLBhOKrivMBNY/ezZJnvkLGQolRVTiIHDRrEZ599xtdff80VV1yBqkr3gRBCnO0c57XH1bwx49Ro0CB6XhAZdzvRQ6D/wCFYfT8S5Z7HkaAVXNA7BZcazEaHi8TeN2IYeyu+tRopT+YS6l1GuOe/6JhxY2Su9jfh7lR8vghU6yXkXhiPRjC62gAd/2DKcD0Ps2Kr469AYNN83nLPH8NDj29DcV7gxWb+AsWVT65xFNKRLUpT5STy/PPPZ/PmzaxcuZLNmzfTuXNnIiMjsVgsJRLKmTNnnnagQgghAluu7sMxYhDT1GhCFQPWH4yoWQq5o9wAqHo2Mc5JpFsexmXoQv+BkIyHR53JjFHDOfa0nSYDQ8kfZCW3/w3kmm5A03VmaElcp0bRGScxNybgaaGTPtRZ4vkK0KGW3/lMcwwvV34bguNiD5HuZ8gy3QbHZ8MLcbLTGhNZsE5kWloa69atK/NaSSKFEOLMt1W3k4CJTsdbA8PeM5M70s3xzU9o4JqBW21PjnFi4T3xGIkxmNmhOTkv3kbaXAcxd9pIfiOfB5ffjbNJHJ4J/+ZcgjD/FIp1s5ljz+TUxeudFVI9Hpr+YCV75nIMejK5puvqOiQRwGSdSCGEEFW2fu2qwv//U3fSUfFPalGzFYL/ZyJ3tL8VMti7Apt3DamW56HILF9FUehlC2OLbgcgb7iHjLudNLo2hAv+7oYprj29skMI+9RMwxk2sm52okXK75aa4NV1bL+bUEwQHP8i2aab0RWZpCTKVuWWyMpseyiEEOLMtGHdavoPHIJX19mOg6FKOAAhn5lwdfThaaWB7qKBazpplvn41LgSZVwUFM7MnHQ0XUdVFHJucONtpHHdLddyy7dhALg6eskd7SZ7fNnLAInTcxg3F2wKxTU4iWBtE8eMi+o6JBHgKp1EZmRk8MMPP5CcnExISAgXXHABLVq0qInYhBBCBLjUY8nMnT2dlldegbVrSxof77sOfc9Mzjh/K2So9z18ShR5xhGllvHQdTeQN/tO/olw0eb4JBn7QC933PUkmaOHs9DQGjW8YlM7pk72b8u3cLE0dFTWHt3FwK8bos98CaehZ6kJvxBFVSqJfOONN3j22WcLl/cpMHz4cB555BGMxio3bAohhKjHfsxNpZtyLoqiYP3ZgGm/gbwr3aD7iHA/T6Z5RrFu7KKOHD6Muvk3tl7WiDbKiW1rjjWJJXjfXtRubSocR0pK8mm/y5ksKSmJJk2blXoue49Gk20WvO0/JMcoyySJU6vwmMg1a9Ywb948HA5HiXGPn376KU8++WS1B5ecnEz37t3ZvHlzseOjRo2ibdu2Jf5s3bq13PL++OMPrrvuOrp06ULv3r158skncbvd1R63EEKcLRrGxDNrznxym8fzw8uvABC5wEr2RBd6CAR7P0fBR55xeLnleL79ie/1POy6BvjH3Idc0psbu/ap8Xc4m4weM55Zc+bj03X+0O18pGXiPT5/ocXbFlKv/QeL+qssLi4qpMJNh2+88QbgHwTdoUMHevbsyeHDh1mzZg2apvH+++9z5513YrNVzxpdSUlJTJw4kdzc3GLHNU1j9+7dTJw4kcsuu6zYudatW5dZ3sGDB5kwYQJdunTh2WefZc+ePSxYsIDc3FweffTRaolZCCHONv0GDCJD96I2iiP16++w9DBg2Wrk6CI76BqRngVkmW8ttvtMabx/7qQZZlboWTRYtxlj/4tQbVba18DuM+vXrqL/wCHVXm51q4k4LxkwmHVaDqv0HAz4F4ePw0QnVxD9lzdA+3gJdkNfNCWqWp8rzkwVTiL37t2LoihceOGFLF26tHB5n7feeovHHnsMj8fDvn376NDh9Fbp0jSNTz/9lPnzS19Nf9++fTgcDvr27Uvnzp0rXO6SJUsIDg5m0aJFmM1mLrnkEqxWK3PnzmXKlCkkJCScVtxCCHE26j9wCF9oWXj/3AEOJ1ELrGTf6EKL0AnxfIiqZ5FrHFuhskarkTyqpeDZ9we4WnOvtTGmGtivuWAyUKCr7jhTdA/PasewonCDGsW5BLFZz+cLPZvWa2zkhLiIjX+PLOOt1fZMcWarcHd2Xl4eAFdccUVhAlnwuUBWVtZpB7Rr1y4efvhhhg0bVmoiuXPnTgDatWtXqXI3bdpE3759MZvNhccGDx6Mpmls2rTp9IIWQoizlFvXWK/nYvvmFy60XYj1FyPZE10oej7R7kdIN89BLzLOsTQJCQnExsfz2E2T8H71A/rEawhfs6nY+MiKUhWFuLj4Ms/PnT2d1GP1Y9xkdIMG1VreSj2btoqFh9R4Utd9jYrCJd+F0/uTcGIXB7HjxqUYSCffOKxanyvOXBVuifR6/VslhYWFFTseGRlZ+P/VMb4wPj6etWvXEhcXV2IsJMCOHTsIDQ3l8ccf56uvvsJut9OzZ09mzpxZ5ixxp9NJUlISiYmJxY5HRUUREhLC/v37y41JUcocD16tCp5RG88SVSf1VD9IPdWO7/R8ojAy6+7ZRD0dRH5DD3qUTqTrBbxqE+ymYeXWgaLAxx9/zL4jWYy4ciDKkmW0yM4j+I9dKMMqH0+bdu15fP6zp7yuPnxfpKelVVucK75ey8+92zDX0AiDovDN6vVcu+pfGFZr/OvcBmxvbqdJn/lkm28F1Vpim0P5eaofqqOeKnNvhZNIXddRFKXEloZFWyU1Tav4k8sQERFR7vkdO3aQm5tLZGQkCxcuJCkpiYULFzJ27FiWL19ObGxsiXtycvy7G4SEhJQ4FxwcXNjKWpbERhEEBwdX/CVOU2KjiFp7lqg6qaf6QeqpZqxYsYLLr7ySDUeSmRwVT8vgCFgHzIHQBv/A/heh6UZaBEWeqijAX08WswG8bj66/e4qxxUWbKZFQkSZ519fupgVK1aUe02gONW7lGfFihUMHTq08PNHafsI+sNHz6HnQTrcv+EuvJH5zBn6GI+/NZ8vf3yGB82pRDS7g2i17N938vNUP5xOPeXnV3yby0qvyfPjjz+WmOxyqnPDhg2r7GPKdM8993DLLbfQrVs3ALp3707Xrl0ZMmQIb775Jvfee2+Je8rbOacgOS7PviNZ2Gye0wu8AhTFX/H7jmQhm/0ELqmn+kHqqWatXv819s5d8WkajTN1Dv2aQ8I/oRzseIhG+68m3zSVzIxWQFa55RStJ5fbB8DepPLvKc/5vS495f0dul58Ws+oLTn57irF+chD0zl08AAdul4MgEPXMAy4mIy5z3Eo4nLixgVjbR5C1jsKW6b8yU2TbmLRjB38tW840ckeSqsz+XmqH6qjnuz2/ApfW+kk8u233y5xrCAJK+tcdSaR55xzToljTZo0oWXLloXjJU8WGhoKQH5+yS+M3W4vPF8WXadWf2hq+3miaqSe6gepp5qRlprGRi2PvkooCgq2VSYcl3hooNyCR2lOhuk+/9TfCtJ1/++LmNi406qvfgOGVPr+QJ6tXZWvhebzkpCQgK773y23/4X4Dh0h4Xcvja4KIec6N/q9YeiqfzzqsF4/Y9RyaHDOMrRTPE9+nuqH06mnytxXqb2zK7JXdk3un+3xePjkk09KXQ/S6XQWG59ZlM1mIzY2lgMHDhQ7npGRQV5eHq1ataq2GIUQ4mzgjQznH5xcqPi7PoO/NOG98S0s2laOWReDUqlfL4B/PGNd7DSzYd3qWn9mbVm1bztr9RwcL7/FDY7ryR/gJeM+Z+Fv/4s6/k3/rjtIDnof7fiWlUJUVIVbIqdNm1aTcVSIyWTihRdeoFGjRixbtqzw+LZt2zh48CCTJk0q897evXuzceNGZs6cWThD+8svv8RgMNCzZ88aj10IIQJdZVrknN070FmxEaoYMBxRsPzjxtjpYdLNc9CUio2DPFm/AYOqdF9FrV+7irYD+hOCSsTxdSunTh7HsaMpNfrcupKle8m95grGKVF8aY3iqvyhHB1lLzxv9v3OuIE/8p8PB3LNTWWvsyxEWepVEgkwdepUHnjgAWbMmMHQoUNJSkri+eefp23btgwffmJHhK1btxIVFUXTpk0BmDRpEitXrmTSpElMmDCB/fv388wzzzB69Gji48teDkIIIc4WL7+4gE8+fPeUrYE+XcfRtT0XKSHggZh7bLgfmY9uiClzf+yKqOku5Q3rVnOw//n8oOfTCBMRGMibNArlo5U1+tyqOp0lfjSjgUVaKqYde+jdox2Hj54DRnD28K+0ougOYp03sfz789h1SPbIFlVT+f6GOjZy5EieeeYZdu/ezdSpU1mwYAH9+vXj9ddfL7Z39+jRo1m0aFHh55YtW/Lqq6/idDq57bbbeO211xg/fjwPPPBAXbyGEEIEHE3XK7T39DYcoOu01600vC8I1ZeGaciTpFseCdg1YArWh5ygNmCB2pihagS2HXuxOF2Ejx9V1+GVKj0trUr36QpkjBiEEYWwzzYAMNI5ktyr3YW/9aPcj+BTwln1S2dUQ6WnRwgBVGFiTW3q0aMHu3btKnH8iiuuKLbIeWlKu6979+588MEH1RafEEKcjb7T8jkn00X0m1aCfjDiXnULdmN/nIbedR1amQommwAEKwa6YeOTt97nmSf+w71aEukpPmJ0I774wJk1Utnu/amTxwFgHTkET2wDblEbsjgyEsUOrf5oTtIc/+opQd71hHmWccj2NQ8+nFhekUKUq961RAohhKgZp9rtBcCua/yOndt/u4DwpRayP3gDi+k7Ui1P1VKU1StEMdBNsZH5pU7M3ba6DqeYynbvp6Qkk5KSTF7Xc4n430ZCFAPpaWkEf2nC01jDfY6GQTtCrPMmUi1P41UlgRSnR5JIIWrI+rWr6joEISqk4Hu1rNnRc2dPZ+7s6QD8ptsZ/E0kLWeFcuy1v4mMvJtUy7NoSvVu0VfTpk4ex+6d2wHoo4Tw5uXHsP5kxLivfv9aVJs2QrNZse5PAqB/v8FELvTvZ47uJdY5iXzjFeSZArMLX9Qv9funRYgAdiYvGyLOLAXfq/0GDELXdb7T8vhyw5eF5zWfF83nn5Bx5PMcbp3SmGP/ySGiw43kG4diN15eJ3FXhmowkpSUVPg5JSUZ7fgSdK2xoEfDwUEOwt4111WIp6XgHwKm7udh3XMQxedfuP0qx1AUJ+T+202E51lUskizPFGXoYoziCSRQgghAH/36V84eU1PZ3mrKDJ1f+JYkIB9dstH3HFfWw7/Jx/LwDn1IiEpSK5mzZnP6DHjS71GURR6KMF8OSaDsA/M4KrFAE/hsO5mvZZT7jVzZ0/n/XdeJy4uHnO3Tlh37/Of8ELkAiuZt7kwqTuIdC/gmOUldCWoFiIXZwNJIoUQoo4E4pCHVVo2ERt+xPvPPh7VUvhIy+Tyh2cz9tLZTFl7A4/d+T1Bg74gzLOEo9bX0ZXAGkd4ss8++aDw61zeGMNWioX1PbLwReiEfFnxvYNr2jo9l/f0TA7p7jKvKZg09OR/X8PYtiVBf+8HIGS5CcUHuSPsxLimkW2agttwXi1FLs4GkkQKIUQdef+d1wvHGtal3Tu3M3XyOPbqLg7hJvjHLTTesJlr1UgcaPyx3cXoJ3vw4SNptOn9LbHOyaRaF+FRA3+B6tCw8ApNUGmOmXS8HBvrJOwNSy1EVraCpFfTdX7X7bTDygda5il3gPtLdxCV78KQZycEhQZHnkF/tw/N3OehYifDfG9thC/OIgG9xI8Q9dX6tavIzcmu6zBEgEtISCgcaxgIVmnZXKKEss3lb/XqrgTT9/MIGjwQRNYtLvqN+ot4x5OkWeaRb7yyjqM9PXFx8cV2qrEqKua0TH4ZlcNVz8Rh2WrA1dlX63HNnT2dQwcP0H/gEP7BhQK0/2Yra/q05w8cnEfZLb9/4OCi8Dj0VkeYcukvkN6GzLgb8KrNcKkdQKnb5FiceSSJFKIG1PTOG0JUp5un3UnrAf2Zp6UwVokiL70prY+1Im5CMNYtBrJeWUNQ56eJdHxPuvlhck3X1XXIFVbWWosLF79ZYjiBuu8wu3s0J+daF+GLLRxbZC/13ppUdD3LLbqdzoqNTV+uYtglvViuZXGeofQkUjOb2Ko7mKXAhSN+Qpk7n6TrR+E2abUZvjjLSHe2EDVEEklRX1w6YDBvaumMPBZJ2ylhzFx9H52SO+Hqksvfy64kouMonIYeHAj+gxzz5LoOt1LK+zk8+ZzpYDJ7dRfZE10ErzFhPFR3vyJ1XWeLbqerYiM3JxvHxu85gocMvfSWa3uH1jTCRAf3ItjRnTyux91JEkhRsySJFOIkRdfEE6ImJSUlBcSWcxv0XBK2WJg4IAE9CLJ++Z5mXy3FfXVjHI5vOWz7lkzzvfVuLcjKMh1KZj9uXI008gd7CF9a8eV+qnuS1CE85KPRDiuhYeEM7jeIllj4S3ecuEgD8w6VS//pS1hcdy7Tc4iwL8a3ZB5pDznKLlyIaiJJpBAnKbomnhA1qWFMPLPmzK/x55yc4BT9nKZ7+eFgPrMmNSPjXgfuJx8h1jwcg57Bk280YuLctnjVZjUeYyAwpGViQCEJDzk3uAhdbkbx5dLANR3KmR0N1b8u7B+6nXOVIIxF9iK37jnINt0JgGmXSrOeYSSMCGWE5xr+e0MfRm54Af2r4STPboUeWq3hCFEqSSKFEKKOVHZv5KoqSHA8us4HWiZfRqp4dR2XrvFGegZPj2+JY4Qb87V3Eu55jaSg1aRaX2DH4facTb8mFB0SMbNXd+Hs6gMfmP8Mwer7iSh3zSf7Re3V3bTGPxGm4Pvku5cW86s9HXW/QqMxIeSMcbHvz2z++2ESa759DkPn1aS0exBv48DZ/1uc2c6evx2EqEN7dBd2XcYnieIKxuTV5HqRc2dPJ/VYMkd0D/dn7+If3YneqhkLtVRW7M9h9ojmmDvqOGd8SLD3C5KCvsRjOAfwTz65edqdNRZbIGqhWNiLCwxg7+PFttHKUevLhHtexuLbXCsx6MB+XDQ/Ppu64PvEu/cgLX83EzsmmNwRbjJvd7Fm4yoO+7YyJHQWKVGLcXSIq5UYhQBJIoUo4eTt0U7Xsl++Zr6WwmY9v9rKFGeWDetWk657+Y/vKFllTJyoKndYMNZbJzBXS8b1219MV+N4Irsdvd4K5+bhjeEyH6nP5hPpfZJM8z141SbF7j/bJoi1VCzs1f1b1tgv9WD7yoRHbUeG+UFinVNQ9JIztovuw10d/yDwhYWQj0YTTozJVPLhrkO388INHfntmlwy7ncy9aZxfLx9PTPcd5FtuhWH8dLTfrYQlSFJpBAnmTVnPg1j4qulrBTdw8a2ccRg4hieailTnDk8xxeP/js1mfuO/clunOzWq2fPvamTx3HLnTdxdOK/Ubw+Yp57A+dbH9LgRStt+oUzdHUUOQ85yXvQRbD+BaqeTY5xbLU8uz5LxMxRvOTpPhyXeLH8bkDNVMg2TcarNCTC/Vy59/++9dfTjsGdEEsCZkzHx0Pa1htp0j+M9o52XH/NE7w6NQUUSEtNYv6YzbjUc8iShcRFHZAkUoga4tV1ZiX9jmPlevoqIaRVcwuTqN8O626maAe523eYkKcexPnTVvoooXx9YFe1PSNv+EAsB48Q+fl61IxMEmMSifivhSPL8kh5N59VoStA14h0zyfLfOdZvxh1vwGDCFYMxGJkP258DXVc7X3YvjaCopJmeYoIz4sYtf3F7iva7Z+elnbacbgbxdJcMWM4qhA7xUbM7TYy73AyqdXNHDy8lghtK7vdH/P0Q9kEWXw4LYtBkV/novbJd50QNeQrPReP04HjveU0VEzszcus65BEHSva1blbd3IOVqaqDcl/8TUcS97l29deZ1tuerU864aXX8J6Xnsiv/iKgvm9ff65CE9zDWcP/04sG9atxub7EoOeSY6x/iwgXlMKuu5bKBb2FHZpe7Ft9O+l7TZ0Itd4DQ1c95d576k889Sjp+zydifE0uvbUJr0C0M3waGNuXj+/RUv3rebr//zHU+4bqO15z8EtU3k9fQ5mNWQyrymENVGkkghakCe7mOFnk3QZ+uJi4njoxcWkG1UTrn3rTizFV0GZg8u2igWWigWvL/+CbpO+q9bMbRoilaF75OCxGT92lX856lH+VDPJPTzrzDY/esFGhQTA/7sR9ZNLgqyytycLNTU2WSZpp31rZBFtaTIuMh+HmwbjCjHl13MsDyI1fcjQd6vStz3q55P/v+N4kXfMX7SSh8DnZ6WVm7CqRiMeOJj6P1oFJl3OUh7LpmokFuJd1zLbztDueaB9rz+w3Pss33Fs5Zn+VczGQcp6o4kkULUgBV6Nq2x8NLdD7Nw8Zuo6ZlgNpODzNA+m6UeSy5cyH6v7qblSYlba3sEwbkGkqswfrYgQe0/cAjHDDp2NAbFtyg8P6/XM4TawsgfcqLs8zu4aBCaRo7p+qq8zhmrhWJhH240XcfV1YeniUbYu/5JLpoSSab5HqLdD0ORFRc0Xed9LZMmioUmipl39IzCMa+VcdPDj3HBzw2xpqvkj9lLgmMwRv0IB23f8/qKRrj0RDasW0MLxcKjhgSilbpfrF6cvSSJFKKa2XWNjXouI9VI/wEv9Nt1MbHbnDK55iyXkJCA5vOSo/tIw0vi8XUAVUWhR3AP3t30Bisv6E63nlFYfzZUquzdO7czdfI4AFytmtIWK5cNGFK42kD462ZcUwxQJOeYcPVRsk2T0BXpDi2qESZ86BzFCwpk3uEkYpEVxb/ON9mmiah6FiHejwrv2YYTHbijRVeuUsIJx8DPpazIcKq1QQ/obq5fHEveXb+SoA3CYehNsvV9fGpjbp52JwsXv1mdryrEaZEkUohqtgMncZiIV0xYfjfQ+MoQbthyPbc+0Vwm1wjA35XdCBNBxydDTJlyF89lP0vWzS5GvfQWP1+TQ8MZNirzbw5N10lJSQYgtEc32itWwL/awKQBU7H+YiR35IldV8y+bTSJ3EmOqX7thV0bDIpCc8wnxkUO8OJrqBH63vEldxQLGeYHiHI/hnJ8B5lvtFwuUkIwKAqKonCpEsoGPbdYudYfDIz5+F8YD5T9q9f+p05rdTOhVw8g2zSRNPNToPj/QVHQDV60RVuIuiRJpBClOJ2dRLbpDv92ZYcVGl0TQt7lHg5uzKHLr9GoW+RHTsBe3VWsK3vEP1ejuBUyb3PizjrE21OOAhD+RsXHKaqKQlxcPF5dJ71BWGESCTAo+TLyB3jQoo93r+ouYlxTyTZNxqc2rJ6XOsMULjoOoEDG7S4iF1rheB6eZxyJV0mgqb0bFtcC/tbTubhIi25PJZijeNinu1DTFaJnBxE/IQQ0aHxVCJk/ayW7u7V8+v3xDoYXryLN+iRZ5rugyLaHBZo0PTu2oRSBTwZTCFGKqi6wvG7tKv7s15EblWgaPGAj92o3Wbf5fxF93n8rF8zvAO+XvwevOPP9mpHM5VFNAf8eyJHPWznyYR6YoU+zNqwyuUmZaydhUgh5V7nxxZx6bN3N0+6k/8Ah7NKd2FCJxz+jGB+Efmgmbd6JRbIbuGehYyLD/ECNvN+ZoKVi4VMtq/Cz/TIP2uNWgteayL/CA4rKkaAvsPlWY3A/xX+97+EJ+giv0gTFAfte2cq08I7Efh9Es/XBOC/0cujLXHKb7MH703K65G8kN+MfQixpaEojPGorLO6fUc9pwRHfMlymS8qMrTb2WxeiIqRZRIgybNRyWaVls0t3lpgtu2LFilLvWfvHL9jR6LIiFMtfBjJmOjFoqcQ5RmO7/V3itlsI+kb+7XY201WFo0FGls1+CLwQc7eN7IkuXOf5l9256qL+WFHZfaEd+2UeYu6wge/U5Rb8w2e77qC9YkU53oIVtMmI4vNv4Qdg864kxPMhR61LQTHVzEueAVpg4YjuxlkweUaF3GvdhL1zYhcZFJV8w2DuNL+G3dCbBMdAgv/+ncZDQun23DlEv5TEb4nZjB/2AMlv5eNp9CqtHRdiPe9rsoJGEXLL+zx74H+sNM/DbhhE+rxP2PD1WlwNy04ghQgkkkQKUYoduoOP9UwO4GaRlso3el6x82UlkRmNokjc9iONzumI58Nrsdk+JMHRD1C4vMlivnvqDRo8GFS4XIg4u6gGI974WHSPF+VYOhGLLagOhYw7nIXXGMhgtHcdmuct7I++hyl4K1H/KdmlWZbtupP2nOjKDnvPTO6/3WAEVc+moetu0ixP41WbVuu7nWnCFANqRjb7OLGDUO5IN0E/GjEePPGr872fv8GuqPgs/8Gx7U5ig4dh/78fuaL9MG6K+T9eSnyDQ9d3IMS9kHj3bN63vIXJtpysHmPJuqwrt47tS/rSS3C/NQXL6ouxT5aeClF/BHSTSHJyMkOHDmXhwoX06NGj8PjmzZt54YUX2LVrF2azmS5dunDvvffSrFn540R69+5NWim7CWzatImGDWVckPDz6jrLtAyGKRGw/jua9e/FTpz0JbTwmuzsbNavXUW/AcW7vUO7t+UxZuDbPhDXYAtR7rnkmCaQZboT1fs/+lz0f+iXhRL57JVkzKye7e1E/TFrznze1NLJ+vUnXp71JpH9rBz5IA8sYNCSiHFNI8i3iTC1PcmEEK66Uf+zhwgtl6BD/UlrNB2XoWuZ5Tt1jf24aXd8PKQhVcG21sShdf4JHlGuObjUjuQZR9TK+9Z3jm27eDbrF/47fCIAvoY6+QM9hL1nJmO6k7mzp3Pg0vMZoHQkerEV2wv3kv0phF49lIluG326Omjb9EHMJp1MZwSzfc/zf8EDAAonxjz50AK6/y+EsF8sLJ2ezOAQmSkv6o+ATSKTkpKYOHEiubnFZ7dt2bKFG2+8kX79+vH000/jcDh46aWXGDNmDCtWrCAqKqrU8tLS0khLS2PmzJl07ty52LmIiIgaegtRn6xfu4r+A4ewVs/BhEJfJZSH1q1m/IBLWa/louu6v4tQh8n9JtPe0IPvl35L6xsvYJ2eS47u5fbY1wj7NYFjEfNxWCDdMrewfM10BQv0udx76y1E/LwY1/bHyW/fug7fWNS2VN3DD3o+YRt+JCRoGI6LvLg6+zD7/iDeeQ12w2UcsL1MjtKAu7TDzFMTiMJA5LvHCDW+SqPLrybHdAPplkdLLf8AbqIwEHF87cDQD8w4e3rxNtew+DYT6v2QQ7bvSp2sIUry7dqD3rNbsWM517qJuctGxl1ONKMRunfimpdjiFxs4cj7+bhb34THY+CK/u9hi7+ekVOXYD/3AoyTb+IhSyLG4197zecfXpA3wkPmcDdXaXvppQRjUkJLxCFEoAq47mxN0/j4448ZMWIEmZklt4n773//S4sWLXjuuee45JJLGDx4MK+88gqZmZl8+umnZZa7fft2AAYOHEjnzp2L/TGZZFyQ8C/WrOs6/9OzGa1GcdtNN7B753aaYyEPH+nHB6Y1uD+I/rf3J/rRIC5/tC+f78/hh6wjXOl5nN72P/G++i6OPqU/42/D5XwR+i3O0I7ENryUiPRXQHaxOWus0LPpodi4rGtPQj8zkzvMjVE7SCPHlWSZppBqWYBPjSVYMdAGK1t1OygKOf3iMM54giTX94R63iTIu7HU8vfpLhILZn1rELbMTPZ1bhQ9h1jnFDLMM6QbuxKGde6JreM5xXaaclzsRQvXCX/NwqAH7qfDbiuJC4I58k4e7g7+vyNyTJPwNV1HrukGDqZYSVv3B89YWhFbZAyqajCiGvzJflPFzAglgtDNf9buCwpxmgKuJXLXrl08/PDDjBkzhl69ejF5cvE1zDp16sSAAQNQ1RP5b0xMDCEhIRw8eLDMcnfu3ElYWBgJCQk1Fruo/3LQcKLTEkvhmnsmRaEZFv7RnTRdH0Hw5yb4Bw4ruWz5906G3tmODlP6k3hOJoabfyX13jBQSl8PsqFiJAkzRy54iLgXhhJ15QQs5u85GvIKyM4TZ7QU3cPPup1H1HgSGl+B8bCKfaCHhu455BuvJtt8a7Hruyg2tuh2+hGGL07H2dmH5cuWpI+aS0PX7RwyfFdikfB9upsWin/iR9DXRhSPgr2/m1jXHbjVlmSbptTa+54Jhvfoy1faIY7iJa5gtrsKx+bbib3Gys5LXdw3vw0541y425e/G5VFKd5mUzDDuuh6j4cOHuDfF8o2hqL+CLjfWvHx8axdu5a4uDg2b95c4vwtt9xS4tiPP/5IdnY2bdq0KbPcHTt2EBYWxrRp0/jhhx/QNI2+ffsyc+ZMYmJiyo1JUWqn96fgGdLTVHfSFC8RGDCrSsH2wigKtFIsHEn30PBeG+mPO2iYYOPXpHxeW2Ti3UUv066lE330ZvKGNMJxqbPMOmyimDmku1FUODq1C7G3/kTQHZcR03QaqdZFoARc50C9FWg/T5u0PLorNmJUEyGfm8m/zIPF8hPB9jUcCv65RJxd1CDe92WQj48QxUD+lW5CVppIGTuOUO8nNHRNJ9X6fLF/fOzDRX81FEWB8Lct5IxxEc5SrL7NHLZ9g6IG3vdXoNVTUSZFoZlmZi8u4hVT4ZAX9/k+Vl2wldvHdCbcZ+Dw0pwy4y/690hZDh08QEJCAgkJCQH5dYDAridxQnXUU2XuDbgksrLjEzMyMpg1axZxcXEMGzaszOt27NjB0aNHGTVqFOPHj2fPnj08//zzXH/99Xz66afYbLYy701sFEFwcHCl4jodiY0iau1Z4gTd62Drvr9o0roZLeIisJj9u0S0SIjgIruCZaqCsb9KxkSF+5N3k42PhmuXEDT1NY7d9yofXPAFdy2+i4giM2NP1sth4JmMw7RIiPAfmA/0X0Po130INT4AsQslkaxmgfDzpOs6fx5J5pbIRrQICoeVwPM6odpsaHAfzRq0K3FPC6B1cgYpoQqXhUTAROBRaGGNhNi34PBQQn1XQ6N3wNSMdK+HrCQffRs1JGiHAb6F4Fd+AsfD0GQ1zW0ta/elKykQ6qk03TLt/LJvL83bdeTT5mG0iYB35j7OgWdH0v9GFdODKoltI8q8v0Wif/hA4c/8SV5furhYj1tZ1wWKQK0nUdzp1FN+fsWH+AVcElkZR48eZdKkSaSnp/P666+Xm+jNmzcPi8VC+/btAejevTutWrVizJgxLF++nDFjxpR5774jWdhsNb/nsaL4K37fkSwZJlcHFGMQluYtCXV72ZuUhcvtH980fuJkOh09n4nfT+CHr1J5IiWFkeEx9MgzEtLnGxwhN+BeejnDgL1JWeU+w6JrJPvc/HE4nRDFACHQxBRNxi/LiepyBc68caRanyvc5kxUXSD9PB3R3aT6PERl+Dj6RT4NMoI4es4XxLj2csg4Eb2M75s2mpkNGem0yvb/w6JR5xByX3WTOzYMxbSaKNeDhOzpwtGgt/hR7UIjTCQn5xLzgA1t4mFsjn+RaX6E3MwOkFn6M+paINVTaaI1+D0siD/2/kXwvsM8k3iIvHEjCNr1D0e/aONvakwq+/6nnl8KlP93w/m9LuW7b7865XV1KdDrSfhVRz3Z7SX3fC9LvU0id+3axU033YTdbmfJkiV06tSp3Ou7dOlS4li3bt0IDQ1l586d5d6r67U796G2nyf8+g0YxAHdSwxGfx0cP252GBn/1b9469EUVkdkcoESzPURsaRlPkF4hJ1D5ocqXF9BqMRgZL/upgNBAOQP8GL9XyJJvVbSyDmchs6bOGZ5RfqNqkkg/Dxt0Ryc67MS86yNiCUWjj1jJ1j/lDzjCDSCTnyznWTVvPl4pl7HxLAGqIpC7lVuQj8wkzPGjY6VNMvTuNQuxDlGE266hyuVKCKP5hJ8wT68w9ZhNwwmxzihzPIDSSDUU2nOwYrzwy9wffkVtrBIBhojWO9KJ/vz1ejnX14tX9t+A4YULhcWiF+DogK1nkRxp1NPlbmvXvab/fDDD1x77bXous7bb79N165lr5sGkJOTw0cffcQ///xT7Liu63g8HiIjI2syXFFP9B84hFTdS8PjA+jj4uKJi4tn5JYRJIUfIXWEiwRMjFYjwbmFKNejHLUuRlcqN9ShuWJmn35iQWF7fw+29SZ8ShxJQV9g9W0m1Ptmtb6bqFtfZyVz7esxhH5q4vBnueQPdhDiXUG+8epy7zv20y9ous7+4xs25450Y/rbgOWXEy3VuaaxpFjfoa33Pfp63yRk/xZcMQ1JD5pNqmW+/GOkCtavXVX4/1ZFxfnhF+i5+YSGhTPk0kE8PXgMMaHye0OIepdEbt++nSlTptCoUSM++OCDcifTFDCZTMyZM4fFixcXO75+/XqcTmexhczF2S0NLw2OT1RYuPhNFk9/m0v+7sNTif/hWjWKzl9twUQ+HLmGTPPduAznV/oZzbGwXz+x0LijhxdDtoJ5p4qmRJNqeYFo1yyM2qFqey9Rc+bOnl5shm1R69euIkv3kh5spsP7IWTc68TTRiPItwldseBULyiz3PVrV4Gm4926jW26f4sjPQRyrnMRsdhS7Np8w8VMtn7AwX1rMNzwIUc7ziDfNBwUc2lFi1PYsG51sc+qohAXF0+/AYMKjxX9fyHOVvWuO/uBBx7A6/Uybdo0kpOTSU5OLjwXFRVF06b+Qcxbt24t/BwUFMSkSZNYtGgR0dHR9OnTh127dvHCCy/Qt29fevXqVVevIwKIR9fJxEfDIj8W0Y8H4Riv4XbomBSFjWtXc+3F68HUhGz19io9p7liZo2ec+KAGeyXeLCtM+E+x4XD2Jc84wgauu4g2fqRtCQFuIJFo+HEgvXr167ikw/f5djRFKb070279XlYjhjIv8w/tjrEu5w849VlTqKaO3s6hw4eAMCzZRt/XdyHocfPZY930fTiMIz7VLyJGuvXrqLNgP7oOnSYE0r2RBfeBOlvrE43T7uzcG/yAid/FuJsVK9aIg8dOsT27dvxeDzcfvvtjB49utifRYsWFV578udbb72Vhx56iG+//ZabbrqJV199ldGjR/Pcc8/VxauIAJSGFwsKocd/LKw/GLH+ZCDzdmdhq0OrRqmEet6DuFeqPIu6KWay8JGl+5OP9WtXYe/vJXjNiRlx6ZZHsPi2YNF+Os23ErWpoAVrw7rV/nVGG8XyqZ7F4DfM5F3hRg8CdA/B3hXkGYeVWY7m8xauaevZ8hf7cJGn+yd6+eJ18od6ClsjN6xbzV+6g1FrGmD+x0DmNGeZ5YqKST2WXKx1WRJGIUoX0C2RPXr0YNeuXYWfmzRpUuxzeU6+TlVVxo4dy9ixY6s1RnHmSMVLQ4z+rQ01iJ5rJXOaCy1S9/8S0b3cfPXPZJrvIdqcCGRV6TkWRaURJvbjpjNGNqxbzcAHhtDgoSDMfxlwn+tDV8LIM40g1PM+LoMMt6hPPtAyyR10ETEhFpw3jGCAL4xLfmtG7h3+VkiL9ieaEoxL7V6h8vSsHBpjZrvu5ILj428zpzppfHkoOeNc7N65nZzf/+S9xweRMd2JLlsvCyFqSb1qiRSiJqXpnsKu7JDPTBiyFHLGnxi7GOF5FpvNSrZ56mk/K1Exs6/IuEgtDHL/7SZ86YmxbrnGawjxfgpFrhOBRzUYSUpKYurkcfyTm8Fadzp2mxnt/ltoarYxelM0HtWDs4e/5dmlnsdh21eVasnuqQSzXM8qbI30tNLInuSi4QwbxqBQHnz2YmiskzvKfYqSREU0jIkv3FFGCFE2SSLFWa9gJmbq8Uk1igOingwi4z4n+vF1w0M9bxPhfoH86GWgnP5e662xskP3dzvm5mSzfu0qsse7CFlhwpDmHwPpUrvhUxoQ7Ftz2s8TNWfWnPk0jIknJSUZ85UDsP2xiyZfbOQZtTGzYs8l/B0L3yZ+f+JvW8WApkRXqOy4uHhURWGAEor5WAb/1dLwHl9/I/NWJ4Z0heXJn9D4iIX0xXb5G10IUavkrxxx1isYx1awvE/4axZ8DTXyrvJ3P9q8/6OBayYpQe/iNnSslmd2VILYj5tc3UdoWDj9Bw7B01LD0ctL2NvHZ9QqCrmm0f4xmCLgKaHBmPv2JOynP1ENRoIVA0H7DNg2mljTZn2lyipo3Vy4+E1unnYnqqIQ8t5K8vDxnwNbAdCDIPUJB6rZysrXj6GF1cBLnaVk5rUQFSNJpBDHpeIlxmskYpGF9PudhZveqnoOKda3cBqqbxZ/mGKgGWb+0h3FfmFlT3AR9pYFjk/4zTOOwuZbh6qnVduzRc2I/teVeHf8w9xpMwq7QsNfsZA3zE1WUHalyipo3YQTkzq6nHse09QY9kRY2KjlApDf28PkL3eT2EiW8qlOMpFGiIqRJFKc9Xbv3M4tk8eRipfE363oJnD2PLFsS57pGhzGvtX+3E5KEH/gKPYLy9HHCyoEfe8fm+lVm+IwXCitkQFOVyDs6sEMUEILj6npCqEfmcn6P1e1tGz1HziEaMVI+Nsr+FDPZJWWzUItFYCWWE5xtxBCVD9JIoUAiI5AQyd+kxXHRd7CVsia1EkJ4i/dUTjGDUBTdbKuchGy/MS4yxzTeMI8b8heYwHsvOHDcKMzpstFhcfClplx9PLiaatVa8uWa9tOuv11iK26g0TFwv1qHKqsJSqEqAMBvcSPELWhTbv2DH5sLj/o+YR8ZyJ3ZO3McG2KGTMqe3Dh0XXWajnsw03iVVaeu6YlaY850IMg33A5DZiO1fcdTuNFpy5Y1Drj+edxHj4MRZI55wVe8od6qlxmWa2XV48YRf/zele5XCGEqC7SEinOev0GDGIHTjrZg7D+ZsBxcdV/8VeGoih0VIJYoqWxWEujvRLEvWos29U/OGzLxPbV8dZIxUyucQxh3tdqJS5ReVt0O10UW7Fjzp4+PIlalcssq/Wy4HjR/Z2FEKIuSBIpznr9Bgxmp+6k58+heBprNbpl3NTJ45g6eVzh5z5KCF0UG4+pjRikhtFEMZP36f9Y/69cgot1ad9AsHelTLAJQMm6hwx8tMdaq899+cUFxb6XhBCitkkSKc56R/DgQidxkw1Hb++pbzgNKSnJ/u3w8LcktVAsjFGjCFUMhS1LiXYfv4/2YNtgIuJlC2qGgldNxGm4kFDPuzUan6i8LbqdDlixVHEbzKqKiY2r1ecJIcTJJIkUZ70dupO2WAn+zoTj4ppNIov6feuvxT6//87rzJ09nf79B3FuooUXXzpM0NdGmvUII2iTUSbYBKitpXRl14aFi99k4eI3a/25QghRQJJIcdbboTtpp1sxpCk4Lqy9JDI9rfSu6f4Dh9BLCWF9vyw+W3aMtMftxE6z4Uy9ApVcgnzf1lqM4tSCUOmkBNV1GEIIUeskiRRnNZ+usxsn5xisHPg5By2y7lr5Ro8ZX7hItVVRuUGN5nX3UQ6OdJA32EPclAhylTGEeV+vsxhFSXcaYglRDHUdhhBC1DpJIsVZbRtOzKgkYKr1n4aTl3A5eTZuZ8WGunU7r2nppM62ozgU9OX/h837PwzHF5mWGbpCCCHqiiSR4qy1bu0qPtOyGKyE1dpizXFx8YXPOtUC1FMnj+Pogv9yBA9/WZ1kTHcQ9p92OJRLaWrvQpP8brS2PoRRO1AboYuTzJ09nbmzp9d1GEIIUWckiRT1UnW0wK1K+occfPQtslVdTVu4+E3atGtf4etjwiO5UAnmRz0fez8vvhgN+8fvcti2gTTLAqxWC03sPYlwP12DUYvSaD4vmq/2xtAKIUSgkSRS1Esb1q2u0HVF12UsSDznzp7OI7Onkz+wF1co4ZgCdMu4gtm3PZVgtup2XGhk3uYiYmEYHm8bHMY+vL1xMElB6wmxL8DmrdjXRAghhKgOkkSKein1WHKJrsTSWieLrsu4Yd1q/tadHL71eg7d93+4NB8fTL2tVuI9HQmKmYYY2ao7yB/kQQ/RibnLhukflfS0NNyG9jz8chxBqeOYdfcoWYC6liQlJaEaZOdYIcTZS5JIUa+5dY1VWjZ3Z+/ikx2/lXttdIMGNMdC9EeriF38Hjl3zeFo0uFaivT09DjepY0Kya/mo9t0Gg8OZfbhB8ENq76P4pvfQrlz1I9kpifVdbg14uTdfupaw5j4wtn0QghxNpIkUtQrBa2Nw8ZN5PzZD/CAdoTfdDsDQuNwTxrF91peseuLTmQ5r3M3TIqC5XAKprRM4iKjiYuLr/V3OHlWdkV4Nv3Edhzk6j68zTRS5zs4+G0OiVnNiR8XTJgvlKWrLkBVdRbc/Q+K7qiByGvWqca5Fm1Vrk0nxxVoyawQQtQVSSJFQDlVIrFh3Wr26i6+6NOOv3QnIcvX0WPDVoao4Yz7yMklAxrgyNQKry86keXk2dB1tePHqWZln2zu7Ol88doS2mBlg55beNwXr3PkwzzSg728lf05ne55gXt2TcNi0ohzjkEpcm19cKpxrqqiEBcXX+vLGp28s1BBMluVfwwIIcSZRJJIEVBOlUjs3rmdJzavoa8Syj2GWNw/bWXAwCGEvWFm3GMXYZ3gIyiy+Lf1mfLLfrgawRo9hyz9xIzgzdZ8bnrpb7Y038n9w5vTttV13PZOH8BAgmMwRu1Q3QVczdq0a8/CxW/y3vtv1erSOuXtLCSEEGczSSJFwJg7ezqpx0rvrixofWrYogVa53O4RAkB/Ali0CYjUfODOPJuHrnXe0q0VJ38y141GOvVhIhZc+bTMCaeFoqFjkoQn+vZ6LrO91oeb+jp3GxqyLEb/ibvdhf/ua41F8ffSrL1PZyGXiQ4+hPieQ907dQPqkPl1X1RSbob/YVHSB0xkCO6u0ZjkoXchRCifPXnN6k442k+LwkJCaWe+33rr/QfOISr//Mkf+lOYhUTAP37DqHBoCAy7nHg7pLHspen8M1P9nJbierzZIh/KRHM1pLZr7vJw8dNakM6KEF0GDiEHNzM/eQJ5r06m2yXC830AqlKZ2JHPUnDnFdIMz5Gboeedf0KpSqv7gv0GzCIT7UsrH/upkf3njyqpTD1+PtXt7mzp3Po4AEuHTCYS09qyVYVhZjYuGp/phBC1DcB3RKZnJxM9+7d2bx5c7Hje/fuZfLkyXTr1o0ePXpw//33k5OTc8ry/vjjD6677jq6dOlC7969efLJJ3G7a7Y1Q1SP9LQ0NF3nGz2PS9SQwuPhr5pQLvgfttEjaZ7fksmXf0WrxIZ1GGnNmTp5HA/fNJGRSiQ9FBuPqQl0OimB+oZVTL33EzKTNNRchQ8+0fnPXZNxZIygYfRo4tLHYdT21dEbnJ6mAy5lJ05CV33DWDWKMUoUr2np5Om+an9WQVL7iZ6Fo/+Fxc7dPO3OOhlLK4QQgSZgk8ikpCQmTJhAbm7xyQE5OTmMHz+ejIwM5s+fz913383atWu54447yi3v4MGDTJgwAavVyrPPPsvEiRN5++23eeSRR2rwLUR5inYX5uk+0q65ksN62TuA7MKJA42umcFEvOKm0YevEX1RF9T7bsJl7MJh20amLx6B3WWpjfBrXeGEDjUU4/rvy1wk/Y9f3uSehXt5Y24K/ztvDesb/sCUTYdZd8d/sa5rRJP83kS5ZqPop/6HV6DQdZ1PtCwGKWEM6HUJAL2VYBIx8547AzVTwXBMgWrMJzWzia/13BItnTIWUggh/AKuO1vTND799FPmzy+9y/Hdd98lJyeH5cuXExUVBUBsbCyTJ0/ml19+oXv37qXet2TJEoKDg1m0aBFms5lLLrkEq9XK3LlzmTJlyim70kT1e/+d1/l+01fc/fATLNCOYTinNQnT/q/Ua/sNGMQPej6DD0XQ/Ik/MT5yJb7cdmTl3k9GxBVwvHtbNZg4dPDM20u634BBZGVmcOxoCuCfgFRWMqMlpXCfGsdCLZXmL83HgcYhPDyZnU/cPU/T9K9JWGbeTVP7+WSYZ5FrHANK3f57srwxqnNnT8cXZEG99xYGKmFYj7+3oiiMU6PJvd1A4spwANwtfGRNcZE7wg2n+W8Je6d2xGGihXJm/qNECCFOV8C1RO7atYuHH36YYcOGlZpIbtq0iW7duhUmkAAXX3wxwcHBfPPNN2WWu2nTJvr27YvZbC48NnjwYDRNY9OmTdX7EqLCdOA57RhRGJilxnMsJpykUiZM9LloEKGfmbhxVAPUGTeTEX4XB1quJqPzsMIEEvzjHUePGV9r8deW/gOHsHDxm9w87c5yJ6EULIOze916HlTjOEexcoUaTqOnlxD9wRe8/1QK+przyP/wf6RaniHS/R9ineOhBrqEK2r92lXMmjO/zLGqms+LkpfPQ4Z4rEWS3amTxzHjpgnseT6XEVt/ZteeTDJvdxKx2EL8uGAUZ9Vj0oHcCzrRrxb3VRdCiPom4JLI+Ph41q5dy8yZM7FarSXO79mzh8TExGLHVFWlcePG7N+/v9QynU4nSUlJJe6LiooiJCSkzPtEzSicaR0Tzw0Pz+UIblp/9RvRipGLlBBW6tmF1xr3q0Q/HESL7hFc/3wc7oVP441RyTJPLbP8M7m7sf/AIeVOQilYBmfDutWEKAaGqhF0V4Ix2V0EJadxdVQEjzx3gKjHbfi2XcVh21eY9H9o4LobdL2W38bfyvj+O69X6d6C7v13b51GWk4q3xrzyBvh4fDKXBS3QvyLX8PfjUjI70u064FKJcqu5o3Rgm10V4KrFJsQQpwNAq47OyIiotzzOTk5BAeX/Is9ODiYvLy8Uu6gcNJNSEhIiXPl3VdAUfx/alrBM2rjWXWpoBu7/8BB/IED5a/dfLTsNQYNHMwQNYz7fUc4hJvOj4cR9qqF/Cs8LHzjMJGdDzLO+STJ1uUoat196wZKPZX1fEWB3bu2M/WmcSw6PgHkoUdOtPJFXqDy+YxUrr6mIUcXKqRc+hGN7IOI9Mwny3JfbYReqCAh/kbPpaliJrGcruOT3zcuPp5jR1NQ0HG+9RGfP9AE91ffM7jfII6+nk/86CFg+Zysm3cT6X4Ug+tWUq0vVqjrPv/8ToRs3YG57zmn+4riFALl50mUT+qpfqiOeqrMvQGXRFaEUsob6rpe6vGCc2Up774CiY0iSk1ca0pio4hae1ZdsJqNhASZ+b/x1zIl+W9C9+wnIbEZLRIiaAFMyNb48S0nvd5rgPIXaIkqqw5l8rn6OGrEdSTEDajrVwDqrp7CQmzs27ePFgklnz/2mn/RIiGCxGZNAEq9ptWq71l8QxN6tQknflIIzGgPt68h6kgvoqLPhfCxNfwGJ1jNRjSTkY/1LJ6KaUkLi63Ua6Dku3y58nMmT57M4sWL+XzFCl7csYsP2jUgJtTDFfFRWNYZ4KLuxDq7w1P9MR+6hFDjgxC3qNyYPvniC7RObXkurjXNzSV7Q0TNONP/3jtTSD3VD6dTT/n5plNfdFy9SyJDQkJKbTm02+3ExZW+dltoqH9cU35+fqn3FZwvy74jWdhsnipEWzmK4q/4fUey6qJnsdaERjTkrpmPsuVwOrt9dhrtPojbB3uTsgDovdfKyPsbMP+5g3ynpRFx2MYw7RtMrp/Zry5CO35dXanrerpr5qOsX7uq8OtVVIeuF7M3KYunnl8KUOKa9WtX8fvWX7m4wy3Mv/AAd34QT8PpQSivtSHnpTeI0saQnN0Al6FHLbwJON1e8s5tSwPdiDnVxV6l5HhYp9s/Y7+0983Jd7M3KYtzu15M6tWXYbqgC6vua8R7mUeZZGjA4LVxeC/UyLGEkTvtExpnX0Kasyv5ppGlxvPIQ9M5GBNOo44T0FKd7OU0BlaKCqnrnydRMVJP9UN11JPdXjJXKku9SyITExM5ePBgsWOapnH48GEuu+yyUu+x2WzExsZy4EDxWbsZGRnk5eXRqlWrcp+p67U7XKy2n1fb+g0YhK7DH5qDRCzMnOFfZknXwZCsEDchmG0X7WT4gDh+e/FlrrplAsM8T5BmfhQfEf5ZDwGgLuup34AhVXp2vwFD6DdgCNm6j/u1JHafa8f1hY/wVyxEjrqSjK8eJVa5gUO2TWhKg+oPvBR53TsyMisMxaagl7NueGnvW/C9BKBrOu4ff2OmGsd/d2zm2bYaKzL3MPqttvQcGo6rfVOOXfICMc6bcao98KpNSpSn+bxY+/TkfMWGrkPIJybQIG9kzf8j8mx3pv+9d6aQeqofTqeeKnNfwE2sOZXevXvz888/k5GRUXjs22+/JT8/n969e5d738aNG4stLv7ll19iMBjo2TMwd/E4UxVMfPlTd3BekTX4jPtUEkaEssa9hkkpNzL/4Rlk/baFwd4X0dWW5BlH1VXIZ5xwxcClSiifadlggOybXeRd4SH45qk41N7EOP+/vfsOb6psHzj+PWm6dymlUMqeIlNAhgqyl4o4kCmgr4CCKAIigmyZgqCIIJuiDBVFHMhWEWUIKkuBFiijk9HdJs35/dFfYgsttNDkJM39ua73kjc5yXlO7p5z7vPMV4rlTmEeRFXQEoJZ5UIwlgqg+wsheO3I24QydeKYO66RnXsQVWhoWUJDy6IoCtGr1zPJpSxRx08wo8J5pg87gM//VLKudCFF34OQjCGg5pMYenqSUb0SjRVvlHQoNd0TU5DcMYUQIj8Ol0T27t0bd3d3Bg4cyPbt29m0aROjR4/mkUceoWHDhpbtjh49mqfG8sUXXyQxMZEXX3yR3bt3s3LlSmbMmEHPnj0pW7asFofi1IyqynHS/1txJRvK9fUm5bEsxpd6B+P/zxpdJSwZP8MK4t3fkx7dxayj4sc/ZBCpZgKQODEdl2s6jCsW4WY6hZ/hk3vex64d2/L892YpTRtQ/oszeBzTk/5I3onmTdlGTNkFTz5/s0VL11hWkikVHEyI4spQ/1De86rMnucVtlbZR5khXiQqU1FIIyRzSJ4R2zu3f0+nt8ZR3tWTUMUV/63R6Ba1xfWhhUU9bCGEcAoOl0QGBQWxZs0aAgMDGTVqFPPnz6dTp07Mnz8/z3Y9e/bko4/+60BftWpVVqxYQUZGBq+++iorV65kwIABvP3227Y+BAFEkokHOsLIqX3y2qUHk8LVNzPg/3PFCZNmMu2VeK67voxBV13D0pZMB3b8SFfFn/fToolXDez45Xvi5qXhv7AM8YZPKJU1Bb0pstj3a66VPKqmYWp4H6/83ojUTgZM/sVX41e/wQMAPPbYY3goOlx/OsCqmSkoKgTOL8UVz89xN52gdOZr6NRrlqmGDqipNMOFgPT3CWrdnPTAOiS5Pl9s5RJCiJLErvtEPvjgg/zzzz+3vF6jRg1WrVp128/m97nGjRuzcePG4iqeuAen1AxqKh6WkfF+Ee4k9c4El/+28TOuIsDPSLTbSI1KWbLt2rGNae068cOBHcx+xAPdH7/R9s3OZDYw4v7ZwyQN6kvpzJFc8dh8z7XApYKD+XHH95xr05hTV6OppWaxwpTIQLUUD/xelrh5acV0VDlunit07mP9eNN0iaMLb9CkWxBprcpw+cHNlMl4nkqp1ZnQJ4jTMV4kGabTPXsHytWyGGd+R8wH9SwPNUIIIfJyuJpIUTKcUjOoTc70KfpoHZ779CT3/K+/6n2VUymV+Q5x7gtRlduMthB3Zef270lOuoGiKPj88DPNFW8SBz/L2yve5/r/MvFf4c5V5W3cTKfxMW646/3Ex11h6sQxjBw9npC2rfg74wbJLRow0XSFhxUfWv7sDzpIb1n4Zuu74au48JDiw+YqV0mYkE6Z4V7o/wjjstc2znudwKfyDIzVH6WcaiD19Cxc2h0g4alGcoUUQojbkEuksLks1UQkmdT8/4ml/T51I629geyQnObMQD8D80ae4arbW2ToH9ayqCVW2/ad8fXLWW86ODiYHrpAAnfsJ+65rmxrfQ2Tl4r3t0HEu88lOPNtdGrCXe0nLCzM0q/xdzWVth7BlP7wU1xnLGb30NfwW+9G8tNZeWqgzS5duoTORW/5773qqPhxWE0jslcq14dkUq6PD6WmeKD/syxJmT34NmMs3l9+hH/PPsTNTyetjXUTWyGEcHSSRAqbO0smAbhQWnGFTPDd4EZS35xaSBdTDB+PO88fJ3254fqyxiUt2dq06wj813/Q7+9/Kb3xezYo10h4IYOAT9xJc+lMuv4RgjPH39O+MlQTf6rpPKh407ZdR+IOHCbkTBBee1250S8TP8Ny3LL/zPOZ0iFlLWuhF7SudlGUUvQ0Ubz5kSRuvJjJxe+S0V/QEfqiN9VrB7KwXXVqr/Uh9oNUUrvIlD5CCHEnkkQKmzv5//0hAXy/diM7SCW9hRH37MOUT29D2SpduayfL6Oxrczcb9D83wmTZ/PugFcJxZXtT11DH63D43cXEtxm4GX8AU/j7rve1xE1jVBcKau40rZ9Z8qWKceE2HFceyUD19I/USpzEiYl76T/5iS3ONdC76T4sU9NJUnNxlDVROyyNFbM3MDYI2f4+EQ0l35IIa2D1EAKIURhSBIpbO4fNZNaeIAK/p+4c+N/mbio8ZRNf4rrrq8S7/4Bj7Z7XOtiOq3Wii87PZK40S+TgE88yNaFkug+idKZr6OohV/JILff1VQeVP5bOnR128+o7F+F5BdjKZM5hAT3aRh1VfJ8pjiTR7MwxY1aeLBTTQJy5qJcf2A3fwam8ZCbT7HvTwghSjJJIoVNZagmzpFJLcUDz5/1uCQqJHfPIihrKun6R7nhNkRqIDW2c/q7XEpP5q/+KXju1eMapSNZ3x+DrhLBmbef/Ds/2T5enCSDpkrOutiuZ3WUmu5BwqQ0gnmNTF0DkvX9i/sw8vXKS/05OWchu9RkLqlZZJuMuPZ9ii6KP35KPh0zhRBCFEiSSGFTp8kkGD2Bip6Ape7ceD4Td/0f+Bi/JNFtitbFE4DOaMT7z1P8GHKDlMcM+C93B0VHnPvHeGVvx8ewvkjfl9ysAXXxJFDR43JFoWwfH248n4Vbq7m4m44Q57HQZg8OMTFXiPv1dzoq/sw1xZLUuhnZPl60u6kpXQghxJ1JEils6pSaQS3FA7dTOjx+15PUL53gzDe57jYi37WMhe1NmDybUS06c1hNI/F/GfhuckMfpSNbF0qc+xJKZ47BLftoob7L5O5GSpN6dNb54xKnUK6vD2mtDWSO+JrArPnEeKzDpJSy7gHlo5vOn3aKH0mtH8R/+z7cFLkUCiFEUcmVU9jUKTWDWnjg/4k7yU9n4eezAJ2axHXXYVoXTeRSDld80HG8dipJfTIpM8wLsiBd/yiJbuMpl/44Hsaf7/g9KU3q4nYljlpRnoR19yGjvpGMySspk/kicR4fkOVyvw2OJn9ddf6U+WgdXsf+1awMQgjhyCSJFDaTqmZzgSzqxHvi87UbaUN+IzBrLrEeS2VCcTujKAr3K54cUzNIfDMDRYWguTkj6pPcXiLBfQ5lM3rhbdxa4HdkqSaSmzWk5uYowp70IeXJdHj3JYKNE4jxWEOq/glbHY6FTlEIDS1rWXrRLTZBFqQRQoi7JEmksJl/yaQcroSt8SL90RRKBf+Pa26jyHKpr3XRRD7qKJ4cU9PBHWI/TMMvwh2fL3PWOk9x7Umsx3KCUv+HryEi388fVNMIuGzgrZXPktQnC+XVN/AwHSDacy/p+kdteSgWNWrdx6Kla9jw6SqmTiz6ICEhhBD/kSRS2Mw/agZ1MjzxX+uGccxCTIo3111f1bpYogC18SAGA9dUI4YqJmKWpVJ6nBfe3+QkkgNfXseQaZUolTmeUpnjUdRkSw0fwP6sFN4ZUYXoUhcxjliIj/ErrnhsIFtXTqtDssw9GV6homZlEEKIkkKSyBIk9w3cHp1UM+i0PghDzav4lJ3LVbfJINOq2C0vRUcV3DmuZgCQ0cJIzJJUQkZ54b0lJ5E8+q8vl7x+xN30FxXSmpJ9bSMA8aqBVu8FUUNXloo/HKSUYSoxHp9i1FXQ7Hgg78TqEybPRueiL5YlFYUQwhnJ1dPBvfJSf1TgwaH/41iQC4ezY0giG5NRJeyGOx2S/Pjynalc8bzC+8uXa1bOZDWbuPQsKs4xYfxqBiaXRqTrH9GsPKJw7lc8OUY6D5EzEXd6KyMxn6QS/II7Kyd+xmcVv+dfpSI/ukXgZvycgZ3GcyNrPUf3dad7RGnSdr1HKXUaVzw+I9PlAY2P5lbFsZyiEEI4K0kiHZSqqtwgG1PtqhgeaYn3pfpM2BdAhfEeeF9Ox6PS31DjbwwVztG2czouGSGY1k7B4FWejPLlSK/rTba7LwZdNVTFuit1zJszDf0THen6fRjpYacJKP8xl9zsu9ZU5Lhf8WCbKYks1WSZBmfczpH41PNm5sy5+A1pwYct4vG4eoOHSz3FTCWQcRmv8ljyTkx7juLvfY0rnl+T6dJQ4yMRQghR3CSJdBBTJr1JVtnSxAf5olavjGv1alT/y4dhKeNoPdAPd389aZ0MMHkjbrWex0gol6+XwTekEZ//fpyAStWpmJlFrdSz+HOZgKgk1FLXULwTMOiqk6Z/lFT9E2ToHoRinjPvYsUyqOGhjF9alqQlj5Kif5Isl3rFug9hHRVwIwQ9e9UU2it+AJiyjVx6viLTqpxjWv/KPJUcxJQLk+hVcyIeW/uB931EvroBn6BnyNK3sPpDihBCCG1IEmnnrqtGtqvJRI9+AcVkgn+iSD1whK3vP4H3ARVDZ4WUxQbim6fn9HBVO3BDPU62LhT84Crwxbr+qEoSzy/+iDnqNdxVHZ1OBtByqT/he5LR1T2E+4Cv8K3eH5PiTZJrf5Jcny/0JNA7t3+f7zrH23d8D61aUt+rB6/1Dce3xxaCGlzigvuXxfsjCaswj15+YtJkVpoSeET1wV3Rke3pQdKjzWnp48WlL1Io19uHWVemkGWCpBGZRLepSoLXGGooHhofgRBCCGuSJNJO7dz+PY3bdWB0xjk8z15gbJ2WVMYNXeNa7LwGSb3TueEJ3DwuRXEjWwnN89KipWuAnGblNg0b493mIXYEnWHdKG8Mr6s882sDnp7QAdfYj0h/ezNerZcSoF/IVffxJOkH3nbwyysv9ScuNoagdq04+tcROtdrSjomzqtZ7KhYkcl9S1HlnAfpg2NRnhlOgvu7mJSgYv61hDWYso0A1MWD0uj55N9DpP+wm+udH8H9/EXuu78mxsom1oz/nONHj/LK2zlJZxB6Jrw0CPjvb08IIUTJI0mknZkwYQIVqt7Hn0cPowJhh3/FJT2Tqve3sWzTtn1n1Lv47voNHqBtu05MnTiG6AvnWbJiPZt/3YWpfQjPt/iTR34rQ+9PHyds5LOkj/iOgIEj8Hf5hCTX50l27ZmnZjJ37WOpZx7nk8wruJRy56DpCu4otDjmy8f/q497A1eu7dpKaV4lw6UZKfqn7/EXErZiHrWsKApP6AL4qJoB49BncbkcS6nPv4f72wLQumsHWnftkOezMTFXbF5eIYQQtiVJpJ1p2rQpdRo9TJt2OQlau3yaie9W7ibn8AoVURSFHi3bsnP791T46w9CXx/BqDaR+MfqmTClDWXb/k3q7A14P7CCoKzpJLk+zw3XoRiVML7+Mmcql+c/XswaNZGRujJUKVcVj10uqHNSKJeWRfrklSitvqKM6QCJ7lNI1j8PiqwP4ihyj1y+Dw/6KEFUcnXjk2Uf3PGzoaFlrVk0IYQQdkBRVfVuKrVKvNTUVHx8cgYE/PXPRby8vK2+T0WBKmEBRF66jlZR2b79e7zaPsxaQzzTd1Si3lJf3P9yIaP3IdTXp+Hp8Q2gkGn0xKD3IgMXfLI8cE13RxfnjZrqQVbFU3gEJJHh0oRUfTdS9E+SrSs5SYU9xElL5prspSs3aF2U23L2ODkKiZNjkDg5huKIU1paKvVqlgcgJSUFb++C8x+piRQWO7d/zzdfbmRh+878e/IoEzu5MKBLKWrHeFJhaV38mn9F8rPXSSudQKQxlsrnFMpc1GEKzMRQM4OMh5PJanwDo2sYmboGsh52CXHzwKkJk2fz9puvaVcgIYQQdkGSSGGRO1EY2OAhappS+NJ0nfiQBFyGXKOBy9+MMr7IoeuBBHqWho56ohtlYyyngrRSl1i7dmy7ZfS9eflAIYQQzkuSSJFH7mShhc6HFvhgUFXeOvQTh0c2Y5j7WaorHgxSSpGmGDUsqbCV+LgrTJ04Jk8fyfymdBJCCOFcJIkUt/XKS/0BCAkJxj0ymoRKYRz+djcvfLxK24IJIYQQQlMOmUT+/vvv9O/fv8D3hw8fzrBhw255/ezZs3Tp0uWW1ytXrswPP/xQrGUsKcxTtRgMmYS76NH/fUrjEglbKx1SVtaYFkIIcQuHTCLr1KnDhg23jgx9//33+fvvv+natWu+nzt1KicBWrNmDe7u7pbXPTxkZY2CmKdq6fFML2nCdFLS/1EIIUR+HDKJ9PHxoUGDBnle27FjB/v372fBggVUrlw538+dPHmSsLAwHnzwQRuUsmSQFUeEPDwIIYTIj07rAhSHjIwMpk2bRuvWrenUqVOB2508eZLatWvbsGRCCCGEECWTQ9ZE3mzVqlXExcWxevXq22536tQpqlatSs+ePTlx4gR+fn48+eSTjBgxAldX1wI/pyi2WWjFvA9Z1MW+SZwcg8TJMUicHIPEyTEUR5yK8lmHTyKzsrJYu3YtXbp0oWLFigVul5CQQEJCAoqiMGrUKMqVK8f+/fv55JNPuHLlCu+9916Bn61cLuC2M7YXt8rlAmy2L3H3JE6OQeLkGCROjkHi5BjuJU6pqQVXqt3M4ZPIH374gYSEBF588cXbbufj48PKlSupXLkyZcvmDBZp2rQpbm5uvP/++7z88stUrVo1389GXb6Ol5eh2Mt+M0XJCXzUZVlWyp5JnByDxMkxSJwcg8TJMRRHnNLSUgu9rcMnkdu2baN69erUqlXrttt5eHjQokWLW15v3bo177//vqWpOz+qik1PGlvvT9wdiZNjkDg5BomTY5A4OYZ7iVNRPufQA2sMBgP79u277WAas8jISD777DNSUlLyvJ6RkQFAYGCgVcoohBBCCFESOXQS+e+//5Kens4DDzxwx21jY2OZNGnSLZOKf/fdd3h7e1OnTh1rFVMIIYQQosRx6Obsf//9FyDfZuiUlBTOnDlDhQoVCAoKomnTpjRt2pSZM2eSnp5OlSpV2LNnD2vXrmXMmDH4+/vbuvhCCCGEEA7LoWsiExISAPJNAI8fP07Pnj3Zs2cPAC4uLnz00Uf06NGDlStXMmTIEH799VemTJnCoEGDbFlsIYQQQgiHp6iqdJHNT2pqKj4+PgD89c9FvLysP8WPokCVsAAiL8noN3smcXIMEifHIHFyDBInx1AccUpLS6VezfJATqvu7aY4dOjmbGvKzs62/DshIR4vrzSr71NRwMc1i4SEG3KS2jGJk2OQODkGiZNjkDg5huKIU+4pfnLnQvlx6iRy2LBhnDhxgl27dt3yXnR0tOXfbVo2tGWxhBBCCCE0Fx0dfduBxw7dJ/JefP3112zfvl3rYgghhBBCOCRNaiIPHTpEUFAQVapUAWDdunV8+umnXL58mbCwMPr06UOvXr2stv/Y2FimT59OaGhogduEh4db/v3bkX/x8vKyWnnMZEUAxyBxcgwSJ8cgcXIMEifHUDwr1qTRrGENIG8ulB9NkshJkyYxfvx4qlSpwrp165g7dy79+/enSpUqREVF8d5772EymejTp49V9j9+/HhatmyJu7s7Bw4cyHcbFxcXy7+9vLxsNrDG29sbLy+DnKR2TOLkGCROjkHi5BgkTo6huOOUOxfKjyZJ5IULFyzZ7aZNm3jnnXd48sknLe/XrFmTBQsWWCWJ3LRpE8ePH2fr1q3Mnj27UJ9RlJz/WZt5H7bYl7h7EifHIHFyDBInxyBxcgzFEaeifFaTJNLb25tr164RFhZGXFwctWvXzvN+nTp1uHLlSrHv99KlS8yYMYMZM2YQFBRU6M9VLhdw2yHuxa1yuQCb7UvcPYmTY5A4OQaJk2OQODmGe4lTaqprobfVJIls1aoV69atY8aMGTz44IN8//331KpVy/L+d999R6VKlYp1n6qqMm7cOFq1akXHjh2L9Nmoy9fx8jIUa3nyI31OHIPEyTFInByDxMkxSJwcQ/H0iUy980b/T5Mk8o033qBXr1707t2b+vXrs2rVKg4ePEjVqlWJiori6NGjLFq0qFj3uW7dOv755x+++eYbjEYjkJNYAhiNRnQ6HTpd/oPVVRWbnjS23p+4OxInxyBxcgwSJ8cgcXIM9xKnonxOkySydOnSbN68mU8++YSdO3eiqip//fUXMTExNGzYkM8++4y6desW6z63bdvGtWvXeOihh255r06dOgwbNozhw4cX6z6FEEIIIUoqzSYb9/X1ZeTIkYwcOdIm+5s8eTKpqXmraBctWsSxY8dYvHgxISEhNimHEEIIIURJYFcr1qSnp/Pnn39y7tw5kpKSUBQFX19fKlWqRIMGDfDw8Ljr7zbPSZlbQEAAbm5uxV7rKYQQQghR0tlFEnnjxg3mz5/P119/TUZGRr7beHh40L17d1577TX8/f1tXEIhhBDC+vou2U1iagalvD2IGPyo1sUR4rY0TyKTkpLo1asXkZGReHp60qJFCypVqoSPjw8AKSkpnDt3jj/++IPPPvuM33//nfXr1+Pn53fP+545c+Y9f4cQQghRXBJTM8hy8yMxNUnroghxR5onkR9++CGRkZEMGDCA4cOHFzgfY2pqKgsXLmT16tUsWrSIt956y8YlFUIIIYQQZvnPaWNDO3bsoFmzZowdO/a2E3p7e3vz1ltv0bRpU7Zv327DEgohhBBCiJtpnkTGx8dTr169Qm/foEED4uPjrVgiIYQQQghxJ5onkQEBAURFRRV6+7NnzxIQEGC9AgkhhBBCiDvSPIl86KGH2LFjB+vWrbvjthEREezatYuHH37YBiUTQgghhBAF0XxgzWuvvcbevXuZNm0aq1atomXLlreMzo6KimLfvn1cunSJUqVKMWLECI1LLYQQQgjh3DRPIsuUKcOGDRuYNGkS+/btY/369SiKkmcb8xrXLVu2ZNKkSZQpU0aLogohhBBCiP+neRIJEB4ezvLly4mOjua3334jKiqKlJQUAHx8fKhcuTLNmjUjPDxc45IKIYQQQgiwkyTSLDw8XBJFIYQQQggHoPnAGiGEEEII4XgkiRRCCCGEEEXmcEnkrFmzaNeundbFEEIIIYRwag6XRF6/fp1Lly5pXQwhhBBCCKfmcEmkEEIIIYTQnuajs8eMGVOk7Y8cOWKlkgghhBBCiMLSPIncsmULiqJYJhQvjJsnIxdCCCGEELaleRLp7e1NaGgoEydOLNT2S5cuZd++fVYulRBCCCGEuB3Nk8hatWpx6tQpmjZtWqjtN2/ebOUSCSGEEEKIO9F8YE3t2rVJS0vjwoULWhdFCCGEEEIUkuY1kU2aNOHQoUPExMRQoUKFO27ftm1bwsLCbFAyIcS96LtkN4mpGZTy9iBi8KNaF0cIIUQx0zyJ7NixIx07diz09u3atZPJxoVwAImpGWS5+ZGYmqR1UYQQQliB5s3ZQgghhBDC8UgSKYQQQgghikySSCGEEEIIUWSSRAohhBBCiCLTfGCNEM5ERiwLIYQoKaQmUggb+m/EcobWRRFCCCHuiSSRQgghhBCiyKQ5W4gSQprKhRBC2JLURApRQkhTuRBCCFuSmkghbtJ3yW4Aqc0TogBS6y2EAEkihbiF1OQJcXuypKUQAqQ5Wwir6Ltkt6VGUwghhCiJ7LYmMjMzk1OnThEXF0e9evUIDAzEzc1N62IJUShSmymEEKKks7sk8saNG8ydO5etW7eSkZFzI/7www9JTk5m+fLlTJ8+nXr16mlcSiGEEEII52ZXSeSNGzfo1asXUVFRqKoKgKIoAJw5c4bTp08zaNAg1q9fT7Vq1bQsqhBCCCHugQzQcnx21Sdy8eLFREZG4uLiQv/+/fO85+3tjaIopKamsnjxYo1KKGyh75LddJ73vfQpFEKIEkymJXN8dpVEbt++HUVRGDRoEOPGjcvz3tChQ3nxxRdRVZXDhw9rVEJhC3JhEUKIuycP4sJW7CqJjIuLA6BWrVr5vl+jRg0Arl69arMyCSGEEI5EHsSFrdhVEhkYGAjA33//ne/727dvByA4ONhmZRJCCCGE0IK9TxdnVwNrWrduzcaNG1mzZg2pqamW17///nsiIiLYv38/iqLwyCOPaFhKIYQQQgjrs/faZLuqiRwxYgShoaFkZ2ezadMmy8jsb7/9lt9++w2AoKAgXn75ZS2LKYQQQgjh9OwqiSxVqhQbNmygdevWAKiqmud/zZo149NPPyUkJETbggohNGPvzTtCCOEs7Ko5G6BMmTJ8/PHHJCQkcPz4cW7cuIG3tze1a9emXLly9/TdqqqyceNGIiIiuHjxIkFBQbRp04YRI0bg4+NTTEcghLAme2/eEUIIZ2F3SaRZcHAwrVq1KtbvXLZsGfPnz+eFF16gefPmnD9/ngULFnD69GlWrlxpaT4XQgghtJRhyKbzvO9lIm5h1+wuiUxJSWHPnj3ExMSQmZlpWbnmZsOGDSvS95pMJpYuXUrPnj154403AGjRogUBAQG89tprHDt2jLp1695z+YUQRWdvK1fYW3mE81FV/n+aniStiyJEgewqifz3338ZOHBgoeaBLGoSmZKSwuOPP06XLl3yvF65cmUAoqOjJYkUQiP/zWuX94apVTJXUHmEKOnkAUoUhV0lke+++y6JiYl33O5ump39/PyYMGHCLa//+OOPAFSvXv02+8v5n7WZ9yGt6v+x5W/R56bBGgXtuyhx6rt0N4kpGZTy8WDdTRdkax6bvf0NFaU8ubfNnczd/B13+s7iOp+K67fss6TgvwUt3Wu5iuv3tbe/WXtyL79NUT9b0Dln7ThJ/G+vsL9PccSpKJ+1qyTyzz//RFEUypYtywsvvEDp0qXR6aw3gPyPP/7gk08+oV27drdNIiuXC8Db29tq5chvf87M/JCgKApVwgJstt+rqZl59n+nfd8uTubvuJqaSZabH1dTk6kSFmDVY9PqdytIUcpT0Lb5vV7Y+Jjdzflkjd/y5r8Fe3E35bLG7+Ps1z2zmytJ7uY3vpf43OmzxRkne7tm2aOiXu/M7iVOqamuhd7WrpJILy8vMjIyePXVV+nevbtV93Xo0CGGDBlChQoVmD59+m23jbp8HS8vg1XLAznZf+VyAURdvk4BXUGdgrkfrKqqRF66bvP9mhW078LE6ebvMh+LNY9Nq9+tIEUpT0Hb5ve6+bU7fee9nE/W+C3tLT5md1Ou4jwWue7lVdC1426+ozg/a4042es5YU8Ke70zK444paWl3nmj/2dXSWS3bt1YvXo1//zzj1X38+233zJ27FgqV67M8uXLCQgIuO32qopNL2623p890/J3uNO+ixqnm7e15rHZ29/PvfxOBb1e2O+81/PJGr+lvcXH7G7KVXwJhf3+LlrT6u83v89aK04S+9sr+oPw3f+mRfmcXSWRr7/+OidOnGDVqlUkJCTQtGlT/P39cXFxuWXbtm3b3tU+li1bxty5c2nSpAkfffQRvr6+91psIYQQQliBDPSxb3aVRKamppKeno6qqmzdupWtW7fmu52iKJw4caLI379+/XrmzJlD586dmT17Nm5ubvdaZCGEEEJYicyUYN/sKomcMmUKx44dQ1GUAueHvFvx8fHMmDGDsLAw+vbte0sSWqFCBYKCgop1n0IUB3kSF0LIdUDYI7tKIn/55RcURcHNzY3HH3+cUqVKodcXTxH37t1LRkYGly5dok+fPre8P2PGDHr06FEs+xIlg71ctOVJXAgh1wFhj+wqiTQnjKNGjaJfv37F+t1PP/00Tz/9dLF+p3B8uRPFm8lFO3/2klzbG/ldhBDOxq6SyLZt27J582ays7O1LoqwEnu70UqiWHTym+XV9/8nqZffRQjhbOwqiRw9ejRHjhzho48+IigoiEaNGuHr65vv6GwfHx8NSijuldxoRUmTmJqhdRGEKHYZhmw6z/vebh74hX2yqySyT58+pKWlkZSUxJtvvlngdnc7OlsIIWzNXPueYchGJxNCCAehqsgDv7gju0oiIyMjLUv8FPfobCGE/bmXBMvcjGzvtSTm2nc165rWRSk0R/lthSgJ7K2bV1HYVRLZpEkTrYtQ4jjyH6fIX0mK6b0kWNKMbD3O/NuWpPNLOAZH7uZlV0nk2rVrtS5CiePIf5wifxJTIazH1ueXJK3CkdlVEimcizSZiYJIP0JR3Oz1emNOWi9dv0bned/L3/w9sNcYl2R2lUQ++eSThdpOURS+/PJLK5dGWJszN5mJ27NVP0JnuOlITVcOe7/emAeyOFLfWXtj7zEuiewqiTx58qRlYE1BVFW94zZCCFEYznDTke4PQghrsaskEm4/KltRFCpVqoS3t7cNSySEEKIwpNZTiHt3u5XU7I1dJZGnTp265bXs7GxSU1M5fvw4b7/9Nq6urqxevVqD0omSQG5yQliP1HraN7n+OQZHOo90WhfgTlxcXPDz86N58+a89dZbnD59mgULFmhdLGEFfZfstnQst5b/Ts7CN2OaV24w95+7nb5LdhdqOyGE43LU8/xurn9C3I5d1UTeSWBgIAA//PADb7/9tsalEcXNXidlLsrKDba8ODvSsmT3OoAl97EKURzupVZOi/PcXkZt91mym8QUqc0UOewqicyvORvAYDAQFxdnqYFMSUmxZbGEsEuOtCzZvd50HelYRf7srSnVUZoM7W3UdmKKY/xuwjbsKons3r37HUdeK4rC/fffb6MSCeEc7O0G7wyc7Te316TNkWr076QkzK/qDNNulSR2lUTCndfM9vLyYvTo0TYqjRB35kgj6Qpirzd4e3avfeJu95uXhATTUZKBklTLfTddgrSI0+2SXemv6VjsKom83WTjXl5ehIeH07lzZ8qUKWPDUglxe4VJwOytX5O4d9a82dlrUl+Umi5HSwYc6RwtzsRPizjZa/93e2avD2V2lUTOmDFD6yIIYRX21q9J2Cd7H/FrLzd/a9TUOtI56mgJenEqCbX0d8NeY25XSaQQ9szSd8rHg/1TCrdEp70rCX2obMnaXRfs9UZhbwqqqXXWBMOZzmN7raV3VpomkQWNxi6MWrVqFWNJhLgzS9+plJJz8bKXmqV7YcvEoShdF5wpkbFWEnNzE96d9uOsCYa9nsfOlNQ707HmpmkSWZjR2PlRFIUTJ05YoURC2JazXniKkzUTh7tJCO9moEZxNGNr0WcqTz9C78BiT2Jurpm112Tpbth71wWze2mBuZdz09FqV531AUbz5uw7jcYWwl6ZJ929l4ucI1x47LVDd1HdTcJuq5G7xdGMXRzfUVBiU9AN3ZH6EZrZS3JizXgVJ61aYErSA0NJpmkSebvR2EKYmS/6BqMJV73ObmrtzJPuFvdFrqg3BmuPKi0p/fQcIWG/mTWbxvNLpgqKdUm6oZe0YykMe0mcnV1JbHnSNImU0diOQes/fPNFPzvrGqqDJQF3o6hJmyPWBonCsWZNaElKpm7Hls3GWl8rb1aU7ga2+J1ul8zeaf+ONAVTQRzxQfZONG/OLkhsbCyHDx/mxo0bBAUF8cADDxAcHKx1sZxSfn/4JaWJUwhn4YwDfsC2Nen2liQU5QGzuJvX80sWb/fgcqf933wszvr3bG/sLolMS0tjypQpfPPNN5hMJsvrLi4u9OjRg3HjxuHh4bgrg5QUJaWJUysl4alaOBZ7WZnFmW7+9lYzeS8yDNnUfGP9ba9Zue8L1q7l1urvuSTFtDjYVRKZlZXFwIED+euvv24ZcGM0Gtm0aRNRUVGsXLkSvd6uii7ugaOMUixOztoELTXYjsUafensJZktrMIkDQX9TvZWM3kvVBUyXX1RM+3/mnWn68zNMS1KYliSYloc7CoTW7t2LX/++ScA5cqV44knnqBMmTLExsby9ddfc/nyZQ4dOsS6det4/vnnNS6tgMInBbJWqjbsLWmTWDtWLbQt+k32WbKbq6mZBHm7E/GSffyd5laYpMFZ+pc6ijtdZ26OaXEmhs5U0w52lkR+8803ANx33318+umneZqthwwZQq9evThx4gRfffWVJJF2orBJgVYX2YKeMO/lRl6YZh1ruJsyS9JWNLYYxWqrWmhHGZFrnuWgJE3i70gPCsXBUVqT7uWcKOxn86tpL+zv44h/N3aVRJ47dw5FUejVq9ct/R7d3d3p1asXEyZM4Ny5c9oU0MHZW62ULRT0hHkvN3KtmnUKW+bcT8LO5F5qAPLcIIpp0mytbwj2UjtW1ATD2ktL2oKzdVfR8mG1KNe7ezknbv5sUa43hf19HPHvxq6SSHd3dzIzM0lLS8v3/fT0dADc3BwkRbcz1jzR7aWzsb2Uo6iKM/G7lz5n5nLknpPTUdzLcVsj4bLGDcER/74Le925eToarfuc5fcQ4Cg1brZgLw+rWvWxdbS+vdZiV0lkjRo1OHjwIMuXL6ddu3aEhYVZ3rt8+TLLly9HURRZN/seFUc/xptp1dn45mNx1E7P9nJBMpfjXubkLMzfjaM0tdqb4vj71rqGtCC3S7q1SN7yK490D/mPvVyzhLbsKol8+umnOXjwIPHx8XTp0oUWLVpYBtb8+uuvZGZmoigKPXr00LqoDs0W/RiLo8akMDc787FIDUHh3Lz6T1ESicL+xoX5u7FmU+u9rPXrDByxyayga9bNNef2lhjbM7lmiuJgV0nkE088wa5du9i2bRuZmZns2bPH8p55yp9HH32UJ554QqMSisIqjhoTW0+UW5KZbxg3r/5TlETCUX7jwqz1KzdQ7RVHjejNNedaDdxzxOTVluezVrXfd2p1u7lcd9Ov+nbHVtB1piQ9/NhVEgnw/vvvs2rVKlavXk1MTIzl9eDgYHr16sWQIUM0LF3J4oj9q8TdscYNw1GmsuizZDeJKYVbI1rYjiPWiN7MXgYv2TutYl3UVXByN9EXttvX7Y6toP1r/fBTnDRNIqOjowkPD8/zmqIoDBw4kAEDBnD+/HmuX79OqVKlCAsLQ6fTaVRS+1McCaD5Anjp+jWrJQPWeAK1lw7dzs58IbTm309xME8h48gX6oLOo/xGMkstqxD3TrpKFY6mSWSHDh24//776dKlC507dyY0NNTynqIoVKpUSbvC2bniHEBizQ7S1ngCvZvy2utggpJAOthbX0HnUX7XAalltT+OUmsvbiXn0+1pmkSqqsqxY8c4duwYc+bMoX79+nTt2pVOnToRHBysZdE0ZW5+y33BKahqXS5OhVMSms7snSTqtiO/tWORBy1RUmmaRAYHB5OQkADkJJRHjx7l6NGjzJgxg8aNG9OlSxc6duxIQECAlsW0OXPzW+5mwjv1rbj54uTIHb6FY5JE3Xbkt3Zc0jxqe3I/tB5Nk8hffvmFo0ePsn37dnbs2MH58+cByM7O5sCBAxw4cICpU6fSrFkzunbtSvv27fHx8dGyyFZlXkPW/Id+N0+v1lh5QwhHpNXylELcjjSP2p4MgLIezUdnN2jQgAYNGjB69GjOnDljSSiPHz8OgNFoZN++fezbt4+JEyfy0EMP0bVrV7p27apxyYufZQDAbZbTu9OUAfeSPErTuChJtFqeUgghnIXmSWRu1apVo1q1agwdOpSYmBh+/PFHdu7cyaFDh8jOziYrK4tdu3axe/fuEplEFsadmrXv5Unr5tG2N9fgFGZUtPTVEkIIIZyD3c6ZExoaSv/+/Xn99dd5/PHHgZwR28L6LAmpmv/rt2uOKeizQgghhChZ7Kom0uzQoUNs27aN7du3ExsbC+QkkOZVa1xcXLQsnhBCCCGE07OLJNJkMvH777/z448/sn37dhITEy3vmRNHnU5HkyZN6Nq1Kx06dNCqqEIIIYQQAo2TyJ9//plt27axc+dOrl+/bnndnDgqikLDhg0tk5Hbcu5INVd7bFpamk32aTJkYMINkyEDJSsjz3/z3b6AbQv6b3F8h72V53bfkZaWetvf1BGPqSTG6eZt7xQ3rY7p5nI5e5zsvTxpaak52+fzPY56TNb+DnsrjxzTrd9h/rsuiKJAaqoraWmpd92tLHfOo97hSxT1TltYUa1atfI0U5vVqVOHrl270rlzZ8qWLatJ2eLi4ihTpowm+xZCCCGE0FpsbCwhISEFvq95c7Y5gaxRowZdunSha9eut6ynLYQQQggh7IumSWTlypXp0qULXbp0oWrVqloW5RbBwcGWQT1eXl4yMlwIIYQQJZ6qqpYm7Tt1I9S0OVsIIYQQQjgmu50nUgghhBBC2C9JIoUQQgghRJFJEimEEEIIIYpMkkghhBBCCFFkkkQK4QBMJpPWRRBFIOMV7Vt2drbWRRCiRJAk0skYDAaioqL4999/iYuLAyRBsVfp6emsXbuWpKQkdDqdxMlOGQwGYmNjOX36NJcvXwaQKcHsUHp6OnPnziUxMREXFxc5n+yUwWAgMjKSEydOcOXKFa2LI+5A88nGhe2kpKQwfPhwrly5QmxsLGFhYYwfP55mzZppXTSRj0WLFrFs2TISEhJ44YUX8PPzw2QyodPJs5+9SElJ4dVXXyU5OZkzZ87g5+dH+/bteemll267yoOwvfXr17Ns2TJiY2N56623CAoKkvPJzqSkpDB06FDi4+M5d+4c9913H3379qVHjx5aF00UQM4eJ5GZmcnzzz+PqqqMHDmSMWPG4Ovry7hx44iNjZXmNzvUpEkTXFxc2LZtG0uWLJEaSTuTkZFBnz59yM7O5vXXX2f58uUMHDiQTZs2MXHiRP766y+tiyhyefDBB/Hx8eHAgQNMnjyZxMREOZ/sSFZWFoMGDUKn0zFq1Chmz56Nt7c3y5YtIzo6Wu5RdkpqIp3Eb7/9RnJyMuPHj6dhw4aW19977z08PT2l+c0OhYSE4Obmhk6n4+uvv0an0/HSSy/h6+uLqqoSM4199913XL9+ncmTJ9OgQQMA6tSpQ3x8PMuXLwdg1KhRdrcal7Py8fEhOzubMmXKcPLkSaZNm8b48eMpVaqU1kUTwIEDB7h27Rpjx46lUaNGQE7f1XfeeQdXV1eNSycKIjWRTiI5OZkLFy7g6elpea1WrVr4+PgwYcIEevfuzeLFizlz5oyGpRRmqqoSFhZGvXr1mD59Og8//DAbN27k448/JjMzE0VRuHr1qtbFdGqXLl0iPT2dMmXKADl9i93d3SlTpgyNGjXi0KFDzJ8/XwZx2AFVValQoQLNmzdn0KBBPP744xw8eJApU6aQkpICQFRUlMaldG7p6elcvnwZo9Foea1q1aqEhIQwZcoU+vfvz6xZs7hw4YKGpRQ3kySyhDM3AQQHB1O6dGnWrFnDn3/+yblz53j77bfx8PAgOzub8uXLs2DBAt577z3pzGwHFEXBz88Pg8HAH3/8wYwZM2jSpAmbN2/mk08+YciQISxdupTMzEyti+q0fH19SU9P59q1awCWvnVnzpyhRYsWTJ48mZ07d1pqJYU2bq61P3jwIMOGDaNLly4cPXqUKVOmMGTIEJYsWUJycrKGJXVuAQEBeHl5sWXLFn755RfOnz/P2LFj0ev1eHp6UqFCBSIiIpg4caI8QNsRac4u4cwXz2bNmtG2bVt++eUXvvnmGwICAggICGDRokVUrFgRnU5H69atGTlyJE8++SRly5bVuOTOLTMzE3d3d2rWrMmpU6cA+PDDDxk1ahTLly/HYDDQq1cv3N3dZXCARtq2bcuGDRsYNmwY06ZNQ1EUdu3axVdffcXmzZupUqUKO3fuZPPmzTz11FPSbGojqqpiMpnIzs7Gzc0NRVEs59MDDzzA77//DsC4cePw8vJi9erVZGVl8cEHH+Dr6yvnk0aaNGlCv3792LhxI99++y3e3t4EBQWxaNEiKleuDEDHjh0ZOnQo27dvp2fPnhqXWIAkkSVSWloaERERnD9/nooVK1K1alXatm3LpEmTiIqK4saNG8ycOZOHH37YcnICPPzwwwQEBPDvv//SoUMHDY/AeaSlpbF06VIiIyPx9vamfv36PPfcc7i7uwM5yf8HH3xAWloaXl5eqKpKdnY23t7eHDlyhEaNGuHr66vxUZR8aWlpbNiwgStXrlC+fHkaNmxI3bp1GTduHPPmzWPQoEF4enri7e3NRx99ZOkH2apVK3744QeSkpIkibSB1NRUFixYwL///ouLiwt169bltddes5xP9evXZ+XKlcTHx1O6dGnLgA1/f3++++476tevL3GygbS0NJYvX87FixcJDQ2ldu3adOrUiVdffZVOnTrh4uLCW2+9RfPmzfPco+6//34CAwOJiYnRsPQiN0kiS5jU1FSeeeYZjEYjHh4e/P7778TFxfHMM88wevRoKleuzJUrVzh58iSdOnXK89lLly4REBBArVq1NCq9c0lNTeW5555Dp9MRGhpKVFQUu3fv5sKFC4wZMwbIaeJJSkpCr9czbtw49u/fz6pVq1i3bh1LlixBr9fz8ssvS82JFZnPqYyMDDw8PLhy5QrBwcF06tSJN954g4cffpg9e/YQFBREhQoVCAgIsHzWZDIREhKCl5eXdgfgJMznk4eHB9WqVSMhIYGVK1cSHR3Ne++9B0BgYCBubm64uLgwfvx49u/fz4oVK9i9ezdr1qzBzc2NqVOn4uLiovHRlFypqak8/fTTZGdnExQUxIEDB9i0aRNbt27lww8/pEaNGsTFxeW5R5m7JFy9epXAwECqV6+e53WhHUkiSxBVVXn//ffx9fXl3XffpWrVqkRHR7N161YWL15MYmIi77zzDmXLlqV27dp89dVXtG/fntKlS3P16lUiIiLQ6XTUrVtX60Mp8cyjDoODg5kyZQrh4eFcvXqV8ePH8/3339O7d29LjVdoaCidO3cmLS2NDz74gEaNGtGoUSPc3Nzo2rWrJJBWZDKZmDFjBoGBgUybNo3KlSsTHR3N0qVLiYiIICoqig8//JDWrVsDEBsby4kTJyhbtiyqqvL7778TGhqKt7e3tgdSwplMJmbOnElQUBDTp0+nfPnypKWlMW/ePL744guOHDlCw4YNqVq1KuXKlaNjx47o9fo855Ner+eJJ56QBNKKVFXlgw8+wN/fn1mzZlGxYkWuXbvGpk2bWLJkCX379mXx4sWEhITQpEkTVq9eTYcOHQgNDSUuLo4VK1aQmZlpGb0tCaT25O5TgiiKQmRkJOXKlbM0p4WHh9O/f3+mTp3K3r17mTRpEunp6QwbNoyEhAR69uzJs88+y/Dhw9m1axfz5s2zjDYV1mNelaFJkyaEhYUBEBQURL9+/bhy5QqRkZFAzmANVVVJSUnh448/pnHjxpZ57WbMmJGnqUcUP51Ox/nz56lUqZLltw4PD+f1119n8ODB/PzzzwwfPtyy/f79+3n22Wfp2bMnL774Ij/99BOTJk3Cx8dHq0NwCjqdjtOnT1OjRg3L+eTl5cXTTz9Neno658+fB/6rGQ4KCmLx4sV5zqcRI0ZQqVIlrQ7BKSiKwoULFwgICKBixYpATu1wnz59mDRpEpGRkQwZMgRVVRk8eDBubm50796dJ598kpdffpmffvqJhQsXEhoaqvGRCDOpiSwhzH3lvLy8MBgMGAwGXFxc0Ol0eHt706VLFwAmTJjAwoULefPNN4mIiCAiIoK0tDQqVqxI586dqVChgsZH4hxSUlI4e/Ys3bt3t0x4rNPpCAkJQa/Xc/36dQD0ej0RERGcO3eOmjVrAkjNo42YTCaysrJIS0uz/OZGoxGdTkdQUBC9e/cGYNmyZbz77ruMGzeO7t27k56eTmJiIu7u7nTs2FHOKStTVZXU1FQuXrxI48aNURSF7OxsS5z8/f0tS7zqdDpmzpzJpUuXLA8Fcj7ZhslkslznzNNeZWdnoygK3t7etG/fHoCJEycyevRo5s6dy5IlS/juu++IjY2lcuXKtG/fnvDwcC0PQ9xEksgSQlEU9Ho9jRs3Zvbs2Rw6dIjmzZtjNBrR6/W4urrSoUMH4uLiWLhwIY0aNaJ9+/aMHz9e66I7peDgYNq1a8eOHTvo2rUrwcHBALi5uQH/rWduNBoto7Qh56IrzW22odPp8PDw4LHHHmPmzJl069aNBx980DL618/Pj2effZa4uDh++uknHn30UZo3b06vXr20LrpTURQFHx8fHnvsMX755Rf69etnaU1xcXFBURTL+WQwGHBzc7MkkObro7A+nU6HTqejS5cujBw5km3bttGxY0dLcunh4UHbtm0tk/V/++23dO3alWHDhmlddHEb8ghWQpjng+zVqxfNmjXjjTfeIDo6Gr1eb5m81dPTk86dO1O5cmWOHTuW53OypJTtDRgwgBdffNGSQEJO8miu7YKcmsjU1FS+++47AEkgNdCqVSseeOABpk+fzrFjx1AUxZKYBAUFMWjQIK5fv87Ro0fzfE7OKdvq3bs3Y8aMydMdx2g0kp6ebhmd7erqSkpKChs2bACQBFIDDz/8MB06dOCtt97i999/t1zrTCYTXl5edO/enYCAAI4cOZLnc3I+2SdJIksIcwdjNzc3Bg8eTGBgIL179+bSpUvo9XpL80H58uUJDAzkn3/+yTOyTToo2475YlivXj1atWoF/FfzmJSUBGAZ4ZuSksKsWbN48803ZVoLjVSuXJnnnnsOg8HAjBkzOH78eJ7arfLly1O1alVOnz6d53NyTtlWeHg4LVq0AP47n9LT0zEYDPj5+QE559Ps2bOZOHEiFy9e1KyszszX15c+ffpQo0YNxo4dy4EDB/KsYR4UFETlypWJiorKs665nE/2SZLIEqhx48aMHDkSb29vnn32Wf744w/LCRgbG0tGRgZVqlTRuJTO6+aLYe7Jjc0rMQQHB2MwGJg5cyZbtmxhw4YN0plcA+aE/7HHHqNv374kJCQwYcIEDh06ZKnFSkhIID09Xfpq2RHz+ZSYmGgZTJOdnc2MGTP45ptv+PLLLylfvrzGpXQ+5vPpwQcftLTCDBs2jF27dlnOp8TERBITE6lUqZIkjg5A6vJLmKysLNzc3GjZsiVubm4sW7aM559/nsceeww3NzdiYmI4d+4c7777rpygGsuvf6P5/1+5coWNGzfyzTff8Nlnn3HfffdpUUSnpyiK5Zzq06cP5cuXZ+HChQwYMIABAwagKArnz5/n8uXLdO/eXeviOoXcLSi5/20+n8zxAizN2DExMbz77rts3bpVzicbyS9Ouc+ndu3a4e/vz7Jly3j55Zfp2rUrbm5uXLt2jbNnz1pWgRL2TWoiSxDzMl9nz55lxIgRhIeH88EHHzB06FDOnj1raTZYu3atZQogoQ3zDS8yMpKnnnrKsmavl5cXer2e999/n6+++opPP/1UbngaMp9TZ86c4ZlnnqF58+ZMnz6dwYMHs3XrVrZt20ZSUhKrV6+W6ZZswGQyWRILg8FwSwJpPp8uXLgA5CSRXl5eLFy4kC+//FLOJxu5XZzM96ju3btTvnx5pk+fztSpU7lw4QKnTp2yzEgh9yjHIDWRDia/2ivz9D56vZ4LFy7Qp08f6tatS5kyZfD09OTll1+mX79+lnWWPTw8NCq9c7ndSGoXFxcuXLhAv379qF27tuUiW7p0aXQ6HXFxcWzYsMEyKltYT2Hi9Pzzz1OzZk1MJhO1atWiVq1a9O/fH09PT4xGo6xIYyPmZup3330XNzc3Ro0aZRlhbT6f6tSpQ1BQEKqqUrp0aUJCQrh27Rrr16+X88lG7hSn/v37U7t2bfz9/fHy8uKZZ56hS5cueHt7W9Y5F45BkkgHkvtmt2vXLjIyMihfvjz16tVDr9dz8eJFOnToQLdu3Zg0aRKenp6Wz/r4+EjTgA3ljtXSpUuJiooiNTWVNm3a0L17dy5dukS3bt1o3749kydPtkxGHR4eztChQ2nXrp1laS9hPUWNk/kBTFVV/Pz8UBTF0nQqbMNoNPLnn3/mmcHg0qVLdO7cmU6dOuU5nwICAhg4cCBNmjSRfuA2Vpg45X74Mv9bzifHoqgybt4h5O5f8uqrr/LLL7+QmZmJqqpMmDCBXr16sXfvXvbs2cPrr79uGY0otDVixAiOHj1KgwYNLE1tAwYMYN26dZw/f55XXnkFf39/QOas01JR4iS0Y076//rrL3r37s348eN57rnn2L17N4cPH2bw4MH4+vrm2VbYXlHiJBybJJEOIPfFcNWqVXz66ae88847ZGZmsn37dr766ismTJhAnz59JBGxI5s2bWLx4sW89957NGzYMM97CQkJeHt756ktFtqQONmvgrrvXLt2jbFjx+Li4sK8efMsq3PJtU8bEifnJQNrHID55Pztt984duwY3bt3p2XLlrRt25ZXXnmFZ555hqlTpxIRESEnpx2JiorC19fX0kHc/LyWkpLC9u3b+fDDD2UCXTsgcbJf5mvf8uXL+f7774GcEfNBQUF069aNvXv3cvToUdzc3KTWUUMSJ+clSaSD+Oqrr3jhhRfYu3cv5cqVszRth4eHM3jwYJ599lmmTZvGunXrNC6pME+Qe+nSJQBL1wJzIuLj48Phw4fZt2+fNgUUgMTJURw8eJAlS5YwcuRIXnnlFbZu3Up2djaPP/44jz76KB999BE3btyQPt8akzg5J0ki7dTNNR/du3fn+eefJzk5mS+++ILo6GjLe+XLl+ell17iueeeY+rUqWzcuNHWxXVquVdVgP9GJnbr1o1//vmH1atXW143x7VGjRpAzooawjYkTo7h5jg1adKEL7/8kgULFhAVFcV7771Hr169OHDgADVr1iQ1NZXz58/n+1lhPRInATI62y7l7l+SmpqK0WjE39+fMWPGoKoqmzZtYsmSJQwdOpSwsDAgJ5F84YUXcHd3p1GjRloW36nkjtXp06dJSEggNDQUf39/2rRpQ4cOHXj//fdxdXWld+/eKIrC9evXOXbsGOHh4dL9wEYkTo4hd5xOnDjB5cuXCQgIoFy5cnTo0IEmTZqwb98+NmzYwJgxY7jvvvs4ceIEa9euZc6cOZYHA2FdEidhJgNr7Ezuk3Pu3LkcOHAAd3d3OnToQL9+/QCYNm0aW7ZsoUOHDnkSSZARvraUe7nC0aNHc+jQIWJiYvD09KRy5cpMnjyZwMBApk6dyp49e+jQoQPe3t4kJiZy9OhRIiIiLDVdwnokTo4hd5zGjBnDgQMHiImJwcXFhYCAACZOnEiHDh0s23/xxRecPn2aVatWERwczLfffisj6G1A4iRykyTSjuSexmf48OEcOnSIhg0bWpYqfPnll3nxxReB/xLJTp068b///U/W7dXQxIkT+fnnnxk5ciR16tTh7NmzzJ07l3PnzrFv3z4yMjLYuXMnn3/+Oe7u7lSsWJEhQ4ZQrVo1rYvuVCROjmHy5Mn88ssvjBgxgoYNG3L06FG+/PJL9u/fz/z58+nYsWOe7U+cOIG3tzcVK1bUqMTOSeIkAFCFXcjOzrb8e968eWqHDh3Uw4cPq6qqqrt27VIfeeQRtWHDhurixYst202fPl2tWbOmOnXqVNVgMNi8zEJV4+Li1M6dO6urV69WMzIyVFVV1ejoaLVRo0bq1KlT1T///FO9fPmyqqqqmpWVlee/wnYkTvYn9zXP7PLly2rnzp3V9evX5/n9//33X3Xo0KFqvXr11FOnTlleN5lMNimrM5M4iduRjgkaysjI4NChQ0BOZ36TyYTBYODvv/+ma9euNGjQgKysLM6ePUulSpWoX78+S5YsYcWKFQCMGzeOwYMH07t3b2nCtjFzx/DExEQiIyOpVKkS7u7unDlzhqeeeoqWLVvy0ksvsXr1atasWUNmZmaelRuEbUic7FNmZiZ9+vRh9+7deV6PjY0lMjKS+++/H1dXVwwGAwDVq1enV69eAJZrJiAjfa1M4iTuRJJIDf3vf/9j+PDh7N27F8hJJK9evcqxY8fw8fFBp9Px66+/snLlSnr16sWUKVNwc3Nj9uzZjBs3jqysLF5//XVZzsvKsrKyiIyMZMeOHRw6dIj4+HhLohEeHk5gYCAHDx7k8uXL9OnTh+bNmzNr1ixCQkI4f/4858+fx93d3dLXVS6o1iFxchyXLl0iIyODN998k19//dXyelBQEO7u7vz8888AeRKUhx9+GE9PTy5evKhJmZ2RxEnciSSRGpo0aRI6nY45c+awZ88eAMqUKcPTTz9NSEgIV69e5Y033qBHjx506tSJ8PBwwsPDqVatGvv37ychIUHbA3ACqampDBs2jEGDBjFs2DD69u1Lt27dWLx4MadPn8bb25vWrVuzceNGunTpQosWLZg/fz6urq7ExsaiKAo1a9ZEVVWZsNqKJE6OpUqVKrz77rvcf//9DBs2zDIXp4+PD7Vr1+bbb7+9JUE5e/YsAQEB1KxZU8uiOxWJk7gTSSI1YjQaqVq1KuvWrSM+Pp45c+awa9cuIGcd327durFz505CQkIYMWIE2dnZnD59Gsipwfz2228pV66clodQ4qWkpNCjRw8yMjJ49dVX2bFjB7NmzeKhhx5iwYIFzJ49m6ioKEaMGEHZsmXR6/XUqFEDRVE4ceIEixYt4tKlSzzxxBMoiiI1W1YicXIs5iS9du3ajBo1ivr16zN8+HB+/vlngoKCePvtt7l48SLz5s1j/fr1AJw8eZLVq1eTkZFBkyZNtCy+05A4iULRskOmszMajaqqqmpUVJTatGlTtXPnzuqePXss7y9fvly977771AsXLqgxMTHqxIkT1a5du6oxMTFaFdlpJCcnq48++qjav39/9cKFC5bO5eYO4suWLVNr1qypDho0SE1MTFSjoqLUF154QW3WrJlav359tU2bNmqHDh3UEydOaHkYJZ7EyTGZr32qqqrHjh1TBwwYoDZo0EDdu3evqqqqevToUbVz585qnTp11Pvuu099+OGH1datW0ucbEziJO5EpvjRmHleyHPnztGzZ0+Cg4N54403aNOmDYcPH2b06NHEx8dTrlw5bty4wapVq6hVq5bWxS7RUlJSeOqppyhbtixz584lODgYyDs/GsCKFSuYPXs2r7zyCsOHDycuLo6EhASOHj1K1apVqVSpEmXKlNHqMEo8iZNjSEtLY8WKFTRq1IjAwEBq1659yzb//PMP06dP5++//+b999+nVatWXL58mbNnz3Lq1CmqVq3KfffdR2hoqAZH4BwkTuJuSBJpB25OJENCQpg0aRIPPPAAe/fu5e+//8ZkMvHEE0/IHFtWpqoq48eP54svvmDJkiW0atXK8rq5mTP3v8eOHcvOnTv5+uuvpXuBDUmcHIOqqowdO5avv/4aAHd3d0JDQylfvjwPPfQQFSpUoFatWpQpU4YTJ06wfPlyfvrpJz766COaN2+ucemdh8RJ3C1JIu2EOZGMjIykV69e1K5dm1WrVlnez31DFNajqipHjx5l8uTJZGZmMmvWLOrWrZvvb6+qKjt37mTYsGF89NFHtGnTRoMSOyeJk+M4cuQIH3zwAb/++is9evQgOTmZmJgYTp48idFoxNXVlUqVKlGpUiU8PT3ZsmULISEhzJgxg5YtW2pdfKchcRJ3Q5JIO2JOJPfv38/AgQNZvny55eSUJNK2jh8/zptvvonRaGT27NnUq1cvz/vmJtOsrCzq1avHlClTePbZZzUqrfOSONk/k8nE8ePHeeedd4CclYMaNGjAhQsXSEhI4ODBgxw7doxz584RFRWFm5sbaWlpVKhQga+//hpPT0+Nj8A5SJzE3ZAk0kqMRiPZ2dm4u7vn+775ZzcnhlevXiUoKAjImaR11KhRzJ8/n4YNG9qmwOIWBSUo5oReVVV2797Nu+++y4cffih9VTUicbJ/qqpy/PhxRo8ejclkYs6cOdSpU8cyJyeAwWDgwoULxMfHc/DgQTp37ixLTtqYxEkUlUzxYwWpqakMHDiQgwcP5vt+dnY2iqKQlJQE5EyLsHTpUj7//HNOnTrFli1b0Ol0hIWF2bLY4iZ16tRh1qxZ6PV6xowZw19//ZWnRvjGjRts376dcuXKycAMDUmc7J+iKNx///3MnTsXV1dXxowZw/Hjx/PMyeni4kLVqlVp1qwZw4cPl8REAxInUVSSRBazlJQUevXqxcGDB/npp5+A/5Zeg/+arM+fP8+DDz7I3r17CQwM5JdffmHSpEm89NJL7N+/n0WLFhESEqLVYTgFo9FIZmbmbbepXbs2s2bNAmDMmDH8/fffQM6Sle+99x67du1iwoQJBAYGWr28omASJ8dQUJyAPCPqhbYkTqKwpDm7GKWkpPD4449TtWpVMjIyCAwMZOHChZb3zf2zzp07R9++fWnUqBFTpkwhICCAy5cvc/r0aQwGA/fff79MkWBlqampDBkyhMGDB/PQQw/d8r452U9JScHHx4eTJ08yatQosrOzmTJlClu3buXrr7/ms88+47777tPgCJzTzX2DJU72yRyXm/9/fnGaM2cOdevW1bC0zuvm6bAkTqLIrDkJpTNJTk5W27Rpo/bt21e9du2aOn/+fLVz587qjRs3LBMfq6qqxsfHq02bNlWHDx+uJicnq6qq5nlfWF9ycrL62GOPqTVr1lSnT5+uqqpqmaRaVf+bYPfcuXNqzZo11Z07d6qqmjPZ7hNPPKHWrFlTbdCggXr8+HHbF96JZGRkqPv371c3b96sHjt2TE1NTVVV9b9YSZzsQ3p6uvrLL7+oERER6g8//KDGx8fned9gMKiqmn+cHn/8cbVZs2bqsWPHbF5uZ5Oenq7u2rVL3bhxo3ro0CH1xo0bqqr+d/+ROIm7odc6iS0JUlJS6NSpE9WrV2fWrFkEBARQr149Pv74Y6Kjo6lTp45l20uXLjF06FCefvppfHx8AGTUtQ3lri329/cnJiYG+K+JxmQyWebs7Nu3Lx06dKBx48ZATt+7SZMmsXjxYl5//XUZoGFFKSkp9O/fn6SkJC5evEipUqV45JFHePvtt/Hx8ZE42QlznNzc3Lh06RK+vr4kJCQwfvx4Hn30UXx9fdHr9URFRdGvX79b4jRlyhRmzJiBr6+vxkdSsqWkpNC7d29u3LhBfHw8QUFBBAQEMGfOHMuk4nq9vsDzSeIkCqR1FuvoTCaT+tFHH6lDhw7NsxxhdHS02rJlS/WDDz5QVTXv8lG5a72E7dxLbbGZyWRSMzIybF10p5KVlaW+8MIL6sCBA9UjR46oiYmJ6qRJk9QHH3xQPXz4sGW7mJgYiZOGMjMz1b59+6p9+vRRT58+raanp6tnzpxRX3nlFbVBgwbq8uXL1eTkZPXq1asFxsn8PcJ6DAaDOmTIELVPnz7qH3/8oSYlJalfffWV2rNnT7VRo0bqd999p6qqqiYkJEicRJFJElkMYmNj8z3phg4dqnbt2tXy/yV51E5ycrLasmVLdcCAAWpsbKyqqqq6c+dOtWbNmrc00Rw9elRduXJlvjEV1hcZGam2adNG3bx5s+W1y5cvqw0bNlT37NmjJiUlWRIWiZN2/v33X7Vly5bqpk2b8ry+b98+tWbNmmqjRo3UtWvXqr/99pvESUMJCQlqp06d1IiICMtrRqNRPXPmjDps2DC1QYMG6g8//KD+9ddf6ooVKyROokhkmNVdys7Otvw7JCTE0jQN/43G7tmzJzExMWzcuBGQUW1aUVWVtWvXUq9ePWbOnGkZ9V6jRg2Cg4PZvXs38F9M69evT//+/fPEVNhOWloaV69eJTU11fKawWDA3d2dRYsW8dhjj/Hss88SExNDv379JE4aiYmJISEhgdKlSwOQlZUFQJkyZejYsSOdOnXivffeQ6fTMWDAALy8vLQsrlPLysoiIyMD+G/wTNWqVXn77bdp2bIlEyZMwNXVlYEDB0qcRJFIVnMXDAYDY8eOZevWrZbX1FyD3M3JonmU9a5duywJiiqD4W1OURSeeuopZs+enWeewPLly1OvXj1++OEHIGf+M/MDgCT8tmc+N6pUqUL58uVZs2YNK1asYO/evbz88ssEBQXRoUMH+vXrh7+/P8OGDeP48eN5Pitsp0aNGvj7+7Nt2zYA3NzcANi0aROxsbEMHz6cunXr8tZbb3H9+nU5pzTi5+dHSEgI27dvJy0tDRcXF8v9KDQ0lDfeeINq1arx+uuvS5xEkclfy11ITEzk4MGDLF68mB07dgBYVsYwM5lMlCpVitGjR7Nnzx7Wr1+f73bCeqS22DGY46QoCgaDAU9PTz7++GP8/f1Zv349EyZMwGg0snjxYl588UVeeOEFpk2bRkhICGvXrs0zD6uwntznk9FoJCAggD59+vDll1/y2muvsWDBAkaMGEFERASjRo0iNDSUp556iqtXr3Ly5EkNS+5csrOzSUpKIjExkZSUFFxdXRk9ejSnTp1i9uzZQM4Ds9FoBKBChQr069ePlJQU/vrrLy2LLhyQ3DGLSFVVgoKC8PT05MqVKyxcuJDt27cDeRNEczLywAMP8Mwzz9yScArrktpix3BznFxdXTEYDISFhREREcE333xD48aNqVatGuXKlbPEqGLFipZR2jqdTs4pK7s5Tnq9Hnd3d5599lnGjBnDH3/8webNm7lw4QJr1qyxjOxt3749GRkZnDt3TsPSO4/U1FRee+01+vfvT5cuXXjzzTf5/fffadSoEYMHD2b9+vWWScT1er2labtz586kpaVx6tQpjY9AOBqZ4qeIFEXhxo0bXL16lY4dO/LPP/+wcOFCFEWhXbt2lkTSfFPz8fGhR48eHDx4kOXLl9OyZUs8PDzkpmdl5triEydO4OHhkW9sctcWmy+wffr0uWU7YT35xcnV1RWj0YibmxvZ2dmcOXOGsmXLotfnXK5UVSU2NhZPT0/LBOISL+vKL06Q0xw6aNAgnnvuOVRVxc3NDVdXV8vnoqKiCA0NpUKFCloV3WmkpaXRu3dvfH19eeKJJ0hKSmL79u1MmjSJpUuX0rNnT5KSkli5ciWZmZmMGzfOck5FRUURHBxM2bJlNT4K4WgkibwLV65cQa/XM3ToUKKiopg3bx4LFixAVVXat29/SxLSsGFDxowZQ/Xq1fH09NS49CVffrXF+cUmv9riMmXKWBJOYV23i9PNtSSLFi1iyZIlDBw4kFOnTvH5559z/vx52rdvD0jtvjXdLk6Q07RtHowRHR3Nzz//TLVq1dDr9XzzzTfodDpZX9kGPvnkE/R6PbNmzSIsLAzIaap+6623+PPPP+nWrRv9+/fH29ubTz75hLNnz9K9e3f0ej0//fQTKSkpNGzYUOOjEI5GksgiMCcf165do27dulSoUMHyhD1v3jzLEoe5kxXIucG1adNGs3I7G6ktdgx3ipN52bwOHTpw9uxZFi5caOkr6erqyieffCI1XDZwpzjp9fo8D2bLli0jISGBgIAAvL29+fDDD/MMaBPWceHCBYKDgwkLC7M8gD355JPMnTuXAwcO0K1bN8qWLcuAAQNo1KgRM2bMsDRtly1bluXLl1O+fHmNj0I4GkkibyMzM5PDhw+TkpJCxYoVqVatGi4uLrRq1cryZJ2dnU2rVq2A2yeSwrakttgx3ClOAFWrVmXMmDH079+fI0eOUKVKFWrUqCGJiQ0V9nwKCwvjq6++4vjx47i6ulKhQgXLlFrCugwGAxcvXgTIs265n5+fZbosVVXx8fGhRYsWfPHFF5w/fx4XFxfLCjZCFJUkkQUwL+cVGxtLSkoK2dnZPP7443Tr1o0WLVpYmgvMTaK5E8lFixaRlZVF165dpTbLxqS22DEUJU4ApUuXJiQkhHr16mlWZmdU1PPJYDDg5+dH8+bNtSy2U+rUqROfffYZBw4coGnTpmRlZVn6qJr7qZrjaX6vevXqGpdaODpFlaqyWxgMBl566SVUVWXYsGEEBQVx8OBB5s+fT7ly5RgwYACPP/44kDM4Q1EUS7L4008/MWnSJEJCQli+fDne3t5aHkqJV1BtMeSsU567aWfv3r3MmzcPk8nEq6++aklQZFCG9UmcHIPEyTHcHKeaNWtiNBo5e/YsNWvWzLNt69ateeSRR5gyZQqQM4J70aJFtG7dmqZNm2pRfFGCSE1kPm7cuMHly5cZMmSIZaqKKlWqUKFCBebMmcPHH3+Moig89thjlppI84XzkUceYerUqVSoUEESSCuT2mLHIHFyDBInx5BfnB577DGeeuopy/3KaDRaRl6np6db7kUpKSnMnj2bL774gu7du2t1CKIEkXkib2Iymbh+/Trnz58nKCgI+G85r+bNmzNu3Dg8PDxYuXIl+/fvt3wud9Noy5YtCQ8Pt33hnYjBYGD48OH4+fmxYMECNm/ezIQJE9i1axdz585ly5Ytlm3VnDXigZwb3xtvvEFSUhJr167Ns7SeKH4SJ8cgcXIMBcVp9+7dvPvuu5Y46fV6DAYDV69eJT09neDgYEwmEzNnzmTLli1s2rSJGjVqaHw0okQovmW4S5a+ffuqffv2VRMSElRVzVmw3uzXX39VW7ZsqY4dO1bNzMxUTSaTVsV0WvHx8WqHDh3UL7/8Ms/rv/76q/rkk0+qnTt3Vrds2ZLnvdxx+uWXX9QLFy7YpKzOTOLkGCROjqGocYqLi1Pr1Kmjzpo1S33nnXfUevXqqcePH7d1sUUJJjWR5FT3L126lAkTJvDWW29x6tQpWrZsyeXLl1m/fj0pKSl51htt3rw5I0eO5Ouvv+bUqVPSfGNjUlvsGCROjkHi5BjuJk6lS5emRo0arFixgi1btvDpp59aJugXojg4fRKZkpLCc889x7Zt2zh58iSHDh1i8ODBVKtWjfvvv5/ly5ezefNmUlNTcXFxsZy0rVu3xtfXlxMnTmh8BM7HPHlxkyZNWLZsGYmJiZbVTQAaN27M6NGjiYuLY8uWLWRlZeUZhS1sQ+LkGCROjqGoccrIyCAzM5Pg4GA8PDzYtGkTderU0fgoREnj1Emk0Whk9OjR+Pn5MW/ePCIiIti4cSMhISEsW7aMuXPn0rBhQxYsWEBERARXr17Fzc0NyFkGzMPDQ+bWshGpLXYMEifHIHFyDPcSp3/++Qd3d3cmT57Mli1bZNUgYRVOPTo7ISGB6OhoBg4cSMWKFQHw8PCge/fuTJ06lejoaJYvX86QIUOIiIjgyJEjvPzyyyQmJvLjjz+i0+moX7++xkdR8qWkpNCnTx/0er1l9Yxff/2VCRMmWGqL/fz86NGjB97e3pY50HLXFsv8gtYncXIMEifHcK9xOnnyJPXr15f1sIVVOXUSaTAYiIuLw2AwAP9N09OgQQMgZ1H6KlWq8PHHH7No0SJ27tzJs88+i7+/PwEBASxevFhOUCvLXVs8bdo0ypQpQ3p6Oi+99BLLli1j7dq1DBkyhAULFpCWlsYzzzxj6S8ktcW2I3FyDBInxyBxEo7CqZNIHx8ffH19OX78OElJSfj5+QFYmga8vLws277yyisMHDiQM2fO4OHhQalSpShVqpQm5XYmUlvsGCROjkHi5BgkTsJROHUSGRgYyMKFC4mMjLQkkPDfuqMmkwnIqaHMyMjg1KlT1KhRAx8fH03K64ykttgxSJwcg8TJMUichKNw6iQSoE6dOpYRa+blvK5fvw6Ap6cnkLNM1JQpUzh+/Djr1q3TqqhOSWqLHYPEyTFInByDxEk4CqdPInMz10DGx8cDEBAQgMFgYPbs2Wzfvp01a9ZIPxMbk9pixyBxcgwSJ8cgcRKOQpLIfGRnZ6MoCmlpacyYMUMmadWY1BY7BomTY5A4OQaJk3AEkkTmYu534uPjg6qqTJgwgbNnz/LZZ59JAmknpLbYMUicHIPEyTFInIS9kiQyF/MEuuaF6SMjI9m0aRM1a9bUslgiH1Jb7BgkTo5B4uQYJE7C3kgSmY/w8HCGDRtGly5dqFKlitbFEblIbbFjkDg5BomTY5A4CXslSWQ+9Ho9Q4cOtTQhCPshtcWOQeLkGCROjkHiJOyVoqqqqnUhhCgqo9HIxx9/LLXFdk7i5BgkTo5B4iTsjSSRwmGZRywK+yZxcgwSJ8cgcRL2RJJIIYQQQghRZDqtCyCEEEIIIRyPJJFCCCGEEKLIJIkUQgghhBBFJkmkEEIIIYQoMkkihRBCCCFEkUkSKYQQQgghikySSCGEEEIIUWSSRAohhBBCiCKTJFIIIYQQQhTZ/wGu8NPvAHDu/AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x575 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 36 - 制作K线图｜蜡烛图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用 df2 数据，筛选出 8月3日 的数据，制作蜡烛图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x575 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 37 - 制作K线图｜展示非交易时间\n",
    "\n",
    "<br>\n",
    "\n",
    "使用 df2 数据，筛选 8月3日-8月4日的数据，制作蜡烛图并展示非交易时间区间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "nbconvert_exporter": "python",
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  "toc": {
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